1 Curriculum Vita for
Alan E. Gelfand
Professor of Statistical Science
ADDRESS: Department of Statistical Science
Duke University
Old Chemistry Building
Durham, NC 27707-0251
TELEPHONE: (919) 668-5229 (Office)
(919) 684-8594 (FAX)
e-mail: ALAN@STAT.DUKE.EDU
DATE & PLACE OF BIRTH: April 17, 1945, New York City, New York
EDUCATIONAL HISTORY:
B.S., City College of New York, 1965
M.S., Stanford University, 1967
Ph.D., Stanford University, 1969
ACADEMIC EXPERIENCE:
1966-67 Summer Research Assistant, U.S. Navy Electronics Laboratory
1967-69 Graduate Teaching Assistant, Stanford University; Graduate Research Assistant, 1968-69
1969 Assistant Professor, University of Connecticut Associate Professor, 1975-80 Professor, 1980-
1970 Visiting Assistant Professor, Stanford University Summer
1971 Visiting Research Associate, Stanford University Summer
1972 Summer Research Associate, George Washington University
1976 Visiting Research Associate, Stanford University Summer
1978-79 Summer Research Associate, Stanford University
1980 Visiting Lecturer, University of New South Wales Visiting Lecturer, Sydney University; Visiting Research Scientist, CSIRO, Sydney
1985-93 Visiting Research Associate, Stanford University, Summers
1988;90 Science and Engineering Research Council Visiting Fellow, Nottingham University
1992;93;95 Science and Engineering Research Council Visiting Fellow, Imperial College
1995 Visiting Research Scholar, Harvard University
2001 Visiting Research Scientist, University of Washington
2002 -2023 Professor (James B. Duke Professor of Statistics and Decisions Sciences)
Duke University
2002 Visiting Professor, Bocconi University, Milan
2004,05 Visiting Research Scholar, Oslo University
2005,11 Visiting Professor, University of Rome
2005 - Professor of Environmental Health and Policy, Nicholas School of the
Environment
2007 -13 Chair, Department of Statistical Science
2023 - Professor Emeritus (James B. Duke Professor of Statistics and Decisions Sciences)
Duke University
PROFESSIONAL SOCIETIES:
American Statistical Association; Institute of Mathematical
Statistics; International Statistical Institute (Bernoulli
Society); International Society for Bayesian Analysis
HONORS OR DISTINCTIONS:
Elected Fellow of the American Statistical Association, May 1978
Elected Member of the International Statistical Institute, 1986
Elected Member of the Connecticut Academy of Arts and Sciences, April 1995
Elected Fellow of the Institute of Mathematical Statistics, August 1996
Mosteller Statistician of the Year Award, February 2001
Tenth Most Cited Mathematical Scientist in the World 1991-2001, Science Watch
President, International Society for Bayesian Analysis, 2006
Recipient, Parzen Prize, 2006
Craig Lecturer, 2011
P.C. Mahalanobis Lecturer, 2012
Distinguished Research Medal, ASA Section on Statistics and the Environment, 2013
Elected Fellow, International Society for Bayesian Analysis, November 2015
William Evans Visiting Fellow, Otago University, Dunedin, NZ, Fall 2017
Samuel S. Wilks Memorial Award, American Statistical Association, 2019
PROFESSIONAL ACTIVITIES SINCE 1990 (EXCLUDING COLLOQUIUA GIVEN):
Invited Paper: Computer Science and Statistics Interface, E. Lansing, Michigan, 1990.
Presented Paper: 2nd World Congress of the Bernoulli Society and the Institute of Mathematical Statistics, Uppsala, Sweden, August 1990.
Conference Organizer: Bayesian Computation via Stochastic Simulation, Ohio State Univ., February 1991.
Invited Speaker: Pacific Northwest Statistics Group, Vancouver, March 1991.
Invited Speaker: Bayesian Statistics 4, Valencia, April, 1991.
Conference Chair: Fifth New England Statistics Symposium, April 1991.
Associate Editor: Journal American Statistical Association, January 1992 - 1995.
Organizing Committee: 24th Symposium on the Interface, College Station, Texas, March 1992.
Invited Paper: Sixth New England Statistics Symposium, April 1992.
Invited Speaker: 5th Purdue Symposium on Statistical Decision Theory and Related Topics, June 1992.
Invited Lecturer: Workshop on "New Developments in Statistical Modelling for Complex Biomedical Problems", INSERM, Paris, July 1992.
Invited Speaker: Annual Statistical Meetings, Boston, August 1992.
Invited Speaker: Latin American-US Workshop on Bayesian Statistics and Econometrics, Caracas, Venezuela, December 1992.
Member: ESF Network on Highly Structured Stochastic Systems, January 1993.
Conference Chair: Seventh New England Statistics Symposium, April 1993.
Invited Speaker: 1st Riverboat Conference, Basel, May 1993.
Invited Speaker: Statistical Society of Canada, Wolfville, June 1993.
Invited Speaker: Joint Statistical Meetings, San Francisco, August 1993.
Invited Speaker: International Conference on Hierarchical Modeling, Rio De Janiero, December 1993.
Invited Lecturer: University of Basel, Switzerland, May 1994
Invited Speaker: Bayesian Statistics 5, Alicante, Spain June 1994
Conference Organizer and Chair: Summer Research Conference, AMS-IMS-SIAM sponsored, Mt. Holyoke College, June 1994
Conference Co-Chair: NSF-CBMS Workshop on Finite Population Models, Storrs, CT July 1994
Invited Speaker: Workshop on Model Determination, Weisbaden, Germany, Sept 1994
Invited Speaker: Statistical Society of Ottawa, October 1994
Conference Chair: Ninth New England Statistics Symposium, April 1995.
Conference Organizing Committee: Workshop on Highly Structured Stochastic Systems, Luminy, France, June 1995.
Invited Speaker: International Workshop on Model Uncertainty and Model Robustness, Bath, England, June 1995.
Invited Speaker: Joint Statistical Meetings, Orlando, Florida, August 1995.
Invited Speaker: VI Latin American Congress on Probability and Mathematical Statistics, Valparaiso, Chile, November, 1995
Invited Speaker: Sydney International Statistical Congress, Sydney, Australia, July 1996.
Invited Speaker: Joint Statistical Meetings, Chicago, August 1996.
Associate Editor: American Statistician, 1996 - 2001.
IMS Representative to AAAS Section on Information, Computing and Communication, 1996-.
Member, International Advisory Committee, International Society for Bayesian Analysis, 1996-.
Member, NSF Review Panel in Statistics, December 1996.
Conference Chair: 11th New England Statistics Symposium, April 1997.
Invited Distinguished Scholar: National Chao Tung University, May 1997 (Lectures at Academia Sinica, Fu Jen Catholic University and Fung Shia University).
Invited Speaker: Practical Bayesian Statistics 4, Nottingham, England, July 1997.
Invited Speaker: International Workshop on Stochastic Model Building and Variable Selection Duke University, Durham, October 1997.
Invited Speaker: INFORMS, Dallas, October, 1997.
Member, NSF Review Panel In Statistics, December 1997.
Invited Speaker: Third Triennial Calcutta Symposium on Probability and Statistics, Calcutta, December 1997.
Invited Speaker: Conference on Recent Advances In Statistics and Probability, Calcutta, January, 1998.
Invited Speaker, ENAR (Biometrics Society) Meeting, Pittsburgh, March 1998.
Elected: Board of Directors, International Society for Bayesian Analysis 1998 - 2001.
Invited Speaker: Basel Biometrics Society, Basel Switzerland, May 1998.
Invited Speaker: Joint Statistical Meeting, Dallas, August 1998.
ASA Visiting Lecturer Program, 1999 - 2002
Invited Speaker: Royal Statistical Society Meeting Sheffield, UK, April 1999
Conference Chair: 13th New England Statistics Symposium Storrs, CT April 1999
Invited Speaker: Statistical Methods for Analyzing Geographic Variations In Health Indicators, Workshop in Paris, April 1999
Invited Speaker: International Workshop On Objective Bayesian Methodology, Valencia,
June 1999
Invited Speaker: Second Bayesian Nonparametrics Workshop, Reading, UK, July 1999
Invited Speaker: Joint Statistical Meetings, Baltimore, August 1999
Chair Elect: ASA Section on Bayesian Statistical Science, 2000
Invited Speaker: International Conference in Honor of the 80th birthday of Professor C.R. Rao, San Antonio, March 2000
Invited Speaker: ENAR Meeting, Chicago, March 2000
Invited Speaker: Basel Biometrics Society, Basel May 2000
Invited Speaker: ISBA Meeting, Crete May 2000
Invited Speaker: AMS-IMS-SIAM Summer Research Conference, S. Hadley, MA, July 2000
Invited Speaker: Joint Statistical Meetings, Indianapolis, August 2000
Member, NSF Review Panel in Statistics, December 2000
Invited Address: Boston Chapter of the American Statistical Association, February 2001
Invited Presentation, Symposium In Honor of Sir David Cox, New York, March 2001
Conference Chairman, 15th New England Statistics Symposium, Storrs, CT, April 2001
Invited Tutorial, International Real Estate Conference, Cancun, May 2001.
Invited Speaker, Bayesian Inference In Stochastic Processes, Varenna, Italy, June 2001
Invited Presentation, Basel Biometric Society, June 2001
Invited Speaker, Bayesian Nonparametrics Summit, Ann Arbor, July 2001
Special Invited Paper (IMS), Joint Statistical Meetings, Atlanta, August 2001
Associate Editor: Journal of the American Statistical Association, Theory and Methods,
January 2002 - 2008
Invited Speaker, Bayesian Statistics 7, Tenerife, June 2002
Program Chair Elect: ISBA 2003
Invited Speaker, Joint Statistical Meetings, New York City, August 2002
Invited Speaker, and Tutorial, Stochastic Computation Workshop, SAMSI, September 2002, Durham, NC
Invited Speaker, Spatial Statistics: Integrating Statistics, GIS and Statistical Graphics, October 2002, Seattle, WA
Invited Speaker, Int’l Conference on Ranking and Selection, Multiple Comparisons, Reliability, and their applications, December 2003, Chennai, India
Invited Speaker, International Conference on Statistics In Industry and Business, January 2003 Cochin, India
Invited Speaker, International Bayesian Workshop/Symposium January 2003 Calcutta
Invited Speaker, Large Scale Models for Environmental Systems Workshop, SAMSI February 2003 Durham, North Carolina
Invited Speaker, Spatio-Temporal Statistics Summer Colloquium, June 2003, Boulder, Colorado
Invited Speaker, ISI International Conference on Environmental Statistics and Health, July 2003 Santiago de Compostela, Spain
Invited Speaker, International Workshop on Bayesian Analysis, August 2003, Santa Cruz, CA
Invited Presenter, Bayesian Case Studies Workshop 7, Carnegie Mellon University, Pittsburgh, September 2003
Invited Distinguished Lecturer, PRIMES Program, Colorado State University, Fort Collins, October 2003
Invited Speaker, New Approaches to Statistical Modeling of Ecological Data, Jackson Hole, November 2003
Invited Speaker, ISM Conference on Science of Modeling, Yokohama, Japan,
December 2003
Co-leader SAMSI Program on Multi Scale Model Development and Control Design. January 2004
Invited Speaker, ENAR, Pittsburgh, March 2004
Co-organizer, NSF Summer Institute, Uncertainty and Variability in Ecological Inference Forecasting and Decision making, Duke University, June 2004
Member, Editorial Board, Environmental and Ecological Statistics, January 2004
Associate Editor, Bayesian Analysis, July 2004
Associate Editor, Environmental and Ecological Statistics, August 2004 - 2010
Invited Speaker and Roundtable Leader, Joint Statistical Meetings, Toronto, August 2004
Invited Speaker, Winemiller Symposium, Columbia, MO October 2004
Plenary Speaker, MCMC-Ski, Bormio, Italy, January 2005
NIH Panelist, Obesity and the Built Environment, Durham, NC February 2005
External Evaluator, Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA, April 2005
Keynote Speaker, Workshop on recent advances in modeling spatio-temporal data, Southampton, UK, May 2005
Keynote Speaker, Conference on Applied Statistics in Ireland, Enniskillen, Ireland, May 2005
Invited Speaker, Bayesian Inference In Stochastic Processes 4, Varenna, Italy, June 2005
Invited Speaker, Joint Statistical Meetings, Minneapolis, MN, August 2005
Member, National Institute of Statistical Science, Board of Trustees, 2005-2007
Keynote Speaker, Latent Structural Modelling and Analysis for Spatio-temporal Data, December, 2005, Kyoto, Japan
Invited Speaker, Workshop on Uncertainty in Ecological Analysis, Ohio State University, Columbus, OH, April 2006
Invited Address (as Parzen Prize Recipient), Texas A&M University, College Station, TX, April 2006
Invited Speaker, International Workshop on Applied Probability, University of Connecticut, Storrs, CT, May 2006
Invited Speaker, Bayesian Inference in Complex Stochastic Systems, Warwick University, UK, May 2006
Invited Speaker, Valencia 8 ISBA 2006 World Meeting on Bayesian Statistics, Benidorm Spain, June 2006
Invited Speaker, Spatial Data Methods for Environmental and Ecological Processes, Puglia, Italy, September 2006
Advisory Board Member, Institute for Mathematics Applied to the Geosciences, NCAR, Boulder CO, October, 2006 - 2009
Invited Speaker, International Workshop on Statistical Modelling of Complex Systems, Munich, Germany, October, 2006
Associate Editor, Journal of Multivariate Analysis, 2007-2009
Invited Speaker, Workshop on Environmental Health and Statistics, University of Florida, Gainesville, January, 2007
Invited Speaker, Mathematical Challenges and Opportunities in Sensor Networking, Institute for Pure and Applied Mathematics, UCLA, January 2007
Plenary Speaker, Spatial and Spatio-temporal Statistics, University of Arkansas, Fayetteville, April 2007
Invited Speaker, Joint Statistical Meetings, Salt Lake City, August, 2007
Invited Speaker, International Society for Exposure Analysis, annual Meeting, Durham, North Carolina, October 2007
Invited Speaker, International Conference on Advances in Interdisciplinary Statistics and Combinatorics, UNC-Greensboro, October, 2007
Member, Board of Trustees, National Institute of Statistical Science, 2007- 2015
Editor, Special Issue of Environmental and Ecological Statistics
Program Organizing Committee, SAMSI Program on Wireless Sensor Networks, Durham, Spring 2008
Invited Speaker, 9th Bayesian Statistics Brazilian Meeting, Maresias, Sao Paolo, February, 2008
Invited Speaker, ENAR meeting, Arlington, VA, March 2008
Invited Speaker, GUDO 4 Workshop, Valencia, Spain, June 2008
Invited Speaker, Joint Statistical Meetings, Denver, CO, August 2008
Invited Speaker, METMA 4, Alghero, Sardinia, September 2008
Invited Speaker, MCMC Meeting, CRM Lab, Sherbrooke, Quebec, October 2008
Invited Speaker, Thirtieth Anniversary, UFMG, Belo Horizonte, Brazil, May 2009
Invited Speaker, 7th Workshop on Bayesian Nonparametrics, Torino, Italy, June 2009
Invited Speaker, Joint Statistical Meetings, Washington, D.C., August 2009
Invited Speaker, Conference on Spatio-temporal Extremes and Applications, Lausanne, November, 2009
Associate Editor, Bernoulli, 2010- 2102
Invited Speaker, X Jornados Nacionales de Bioestadistica, II Workshop Bayesiano, Santiago, Chile, January 2010
Invited Speaker, EBEB X, Angra Dos Reis, Brasil, March 2010
Plenary Speaker, Frontiers of Statistical Decision Making and Bayesian Analysis, San Antonio, March 2010
Plenary Speaker, Second Bayesian Inference in Complex Stochastic Systems, Warwick University, UK, May 2010
Invited Speaker, METMA V, Santiago de Campostella, Spain, July 2010
Invited Short Course, Joint Statistical Meetings, Vancouver, Canada, August 2010
Conference Organizer, Transition workshop, SAMSI program on Space-time analysis for Environmental Mapping, Epidemiology, and Climate Change, September 2010
Invited Speaker, ENAR, International Biometrics Society, Miami, March 2011
The Craig Lectures, University of Iowa, April, 2011
Plenary Speaker, Hierarchical Models and Markov Chain Monte Carlo, Crete, June 2011
Invited Summer School, ASB2011, Bolzano, Italy, June 2011
Invited Speaker, Joint Statistical Meetings, Miami, August, 2011
Member, Editorial Advisory Board, Metron, September, 2011
Member, Editorial Advisory Board, Spatial Statistics, October 2011- 2015
Presidential Invited Address, The International Environmetrics Society, Hyderabad, India, January 2012
The P.C. Mahalanobis Lectures - Kolkata, Delhi, Bungaluru, India, January 2012
Plenary Lecture, CLAPEM XII, Vina Del Mar, Chile, March 2012
Mu Sigma Rho Invited Lecture, Virginia Tech, April 2012
Invited Speaker, Symposium on Hierarchical Modeling in the Environmental Sciences, Tokyo, Japan, June 2012
Invited Speaker, BayesComp 2012, Tokyo, Japan, June 2012
Keynote Speaker, ISBA 2012, Kyoto, Japan, June 2012
Keynote Speaker, Australian Statistical Congress, Adelaide, Australia, July, 2012
Invited Speaker, Joint Statistical Meetings, San Diego, CA, August, 2012
Keynote Speaker, Advances in Interdisciplinary Statistics and Combinatorics,
Greensboro, NC, October, 2012
Editorial Board, TEST, 2012-2021
Editorial Board, Journal of Statistical Theory and Practice, 2013 - 2016
Invited Speaker, XIII Escola de Modelos de Regressão, Maresias, SP, Brazil,
February, 2013
Invited Speaker, Workshop on Investigating the Effect of Air Quality on Health,
University of Southampton, April 2013
Invited Speaker, Finnish Days, University of Jyvaskyla, Finland, May, 2013
Invited Speaker, Joint Statistical Meetings, Montreal, Canada, August 2013
Distinguished Achievement Medal, ASA Section Statistics in the Environment,
August 2013
Plenary Speaker, J. Haslett Retirement Celebration, Trinity College Dublin, March 2014
Plenary Speaker, International Biometric Society Meeting, 60th Anniversary, Bremen,
Germany, March 2014
Invited Speaker, ADISTA 2014, Brussels, Belgium, May 2014
Invited Speaker, Bayes2014 Lectures, Edinburgh, Scotland, May 2014
Plenary Speaker, Scottish and Northumbrian Meeting of Statisticians 2014, May 2014
Invited Speaker, 47th Scientific Meeting Italian Statistical Society, Sardinia, Italy,
June 2014
Invited Speaker, Graybill Symposium, Ft. Collins Colorado, September 2014
Invited Speaker, International Chemometrics Society, Nijmegen, Holland,
September 2014
Invited Discussant, Workshop on investigating the effect of air quality on
health, University of Southampton, UK, June 2015
Invited Speaker, Spatial Statistics 2015: Emerging Patterns, Avignon, France, June 2015
Distinguished Research Scholar, Center on Excellence for Complex Data Analysis,
RTI, Durham, NC, 2015-16
Associate Editor, Spatial Statistics, 2016 –
Invited Speaker, Joint Statistics Meetings, Chicago, August 2016
CBMS Short Course, University of California Santa Cruz, August 2017
Invited Speaker, BIRS-CMO 17w5076: Synthesis of Statistics, Data Mining
and Environmental Sciences in Pursuit of Knowledge Discovery, Oaxaca,
Mexico, November 2017
William Evans Distinguished Visiting Professor, University of Otago, Dunedin, New
Zealand, November-December 2017
Foundation Lecture, International Society For Bayesian Analysis, June, 2018,
Edinburgh, Scotland
Invited Speaker, Joint Statistical Meetings, Vancouver, B.C., August 2018
Keynote Speaker, Workshop on Spatial Point Process Modeling, Texas A&M
University, College Station September 2018
Special Invited Lecture, Department of Statistics, Colorado State University,
Ft. Collins, CO, October 2018
MSSISS Keynote Speaker, University of Michigan, March 2019
Member, REVSTAT Editorial Board, 2019-23
Editor, Special Issue of Spatial Statistics: Frontiers in Spatial Data Analysis, April 2020
Invited Speaker, New Frontiers in Statistics for Extremes, Lisbon, February 2020
Visiting Professor, University of Zaragoza, 2020-
Editorial Board, Statistical Science, 2020-2022
Keynote Speaker, Spatial Econometric Association 2021, Tokyo, May 2021
Keynote Speaker, McGill (Bio)Statistics Career and Research Day, Montreal,
September 2021
Plenary Speaker, METMA X, Lerida, Spain, June 2022
Keynote Speaker, SEIO 2022, Granada, Spain, June 2022
KCS Pillai Distinguished Lecture, Purdue University, September 2022
Keynote Speaker, Bayesian Inference for Stochastic Processes, Madrid, June 2023
Keynote Speaker, 70th Birthday Conference in honor of Dipak K. Dey, Virginia Tech,
July 2023
RESEARCH INTERESTS:
Spatial Statistics
Spatial and Spatio-temporal Modeling
Statistical Analysis of Environmental and Ecological Processes
Modeling and Model Determination
Nonparametric Bayesian Inference
Bayesian Computation
GRADUATE STUDENTS:
I have completed thirty Ph.D. students since 1990, nearly all of whom have gone into academic positions including the University of Minnesota, Carnegie-Mellon University, Texas A & M University, University of Southampton, North Carolina State University, University of California, Santa Cruz, University of Texas-Austin, Brigham Young University, University of California, Irvine, and University of California, Los Angeles. I have also mentored numerous post-doctoral researchers, including individuals who have then taken positions at UFRJ (Brasil), Arizona State University, University of Michigan, University of Missouri, Texas Tech University, McGill University.
SHORT COURSES:
Graphical and Descriptive Methods for Criminal Justice Data: Washington, Philadelphia, San Francisco 1984; Houston, Chicago, New York 1985,
Markov Chain Monte Carlo Methodology: University of Basel, Switzerland, May 1994; Southern Illinois University, DeKalb, IL, April 1996; National Chao Tung University, Taiwan, May 1997.
Spatial Modeling and Data Analysis: University of Sao Paolo, January 2001, University of Padua, May 2001, University of Oulu, Finland, June 2002, University of Bocconi, Milan, November, 2002.
Short Course on Hierarchical Modeling For the Analysis of Spatal Data, ENAR, Pittsburgh, March 2004, Joint Statistical Meetings, Minneapolis, August 2005.
NSF Short Course on Hierarchical Modeling for the Environmental Sciences, Duke University, June 2004, 2006
Short Course on Spatial Epidemiotogy, Erasmus Summer Program, Erasmus University, Rotterdam, August 2004, 2005, 2006, 2007.
Short Course on Hierarchical Modeling for the Analysis of Spatial Data, Southampton, May 2005, May 2007, June 2009.
Short Course on Hierarchical Modeling for the Analysis of Spatial Data, Tokyo, December, 2005
Short Course on Applied Bayesian Nonparametric Modelling, Joint Statistical Meetings, Seattle, August, 2006
Short Course on Multivariate Spatial Process Modeling, ASA Section on Statistics and the Environment and CISES, Chicago, October 2006
Short Course on Hierarchical Modeling for the Analysis of Spatial Data, Zaragoza, Spain,
June 2007, Lisbon, Portugal, March 2008, Valencia, Spain, June, 2008, Southampton, UK,
June 2009, Tel Aviv, June 2010, Southampton, UK, June 2011, May 2013, June 2015,
University of Rome, June 2011, University of Bologna, March 2015
Short Course on Bayesian Ecology, Joint Statistical Meetings, Vancouver, Canada, August
2010
ABS11 Summer School, Hierarchical Modeling for Environmental Processes, Bolzano, Italy June 2011
Short Course on Bayesian Analysis of Spatial Point Patterns, Rome, Italy, June 2014
Short Course on Principles of Bayesian Inference and Hierarchical Modeling, Soochow University, Peking University, April-May 2015
Short Course on Bayesian methods and Spatial data methods, RTI, Durham, NC, Oct/Nov 2015
Short Course on Spatial data analysis, Intel, Portland Oregon, August, 2016
CBMS Summer Course, Bayesian Modeling for Spatial and Spatio-temporal Data, University of California, Santa Cruz, August 2017
Short Course on Spatial data analysis, University of Otago, Dunedin, New Zealand, December 2017
Short Course on Spatial data analysis, Universidad Publica Navarra, November 2022
PUBLICATIONS:
Books
and Monographs:
Gelfand, A.E. and C.C. Walker, 1984. Ensemble Modeling: Inference from Small Scale Properties to Large Scale Systems. Marcel Dekker: New York.
Gelfand, A.E. 1984. Editor: Proceedings of the Second Workshop on Law and Justice Statistics, Bureau of Justice Statistics, Washington, D.C.
Gelfand, A.E. 1987. Editor: Contributions to the Theory and Application of Statistics, Academic Press, San Francisco.
Gelfand, A.E. (with S. Banerjee and B.P. Carlin) 2004. Hierarchical Modeling and Analysis for Spatial Data Chapman Hall, Boca Raton.
Gelfand, A.E. (with Clark, J.S.) 2006. Hierarchical Modeling for Environmental Data; Some applications and Perspectives. Oxford University Press.
Gelfand, A.E. (with P. J. Diggle, M. Fuentes, P. Guttorp) 2010. The Handbook of Spatial Statistics. Chapman Hall, Boca Raton
Gelfand, A.E. (with E.M. Schliep) 2018 Bayesian Analysis and Computation for Spatial Point Patterns. NSF-CBMS Regional Conference Series in Probability and Statistics, Volume 10, Institute of Mathematical Statistics
Gelfand,
A.E. (with M. Fuentes, J. Hoeting, and R.L. Smith)
2019 The Handbook of
Environmental and Ecological Statistics Chapman Hall, Boca Raton
Journal
Articles:
1. Gelfand, A.E. 1971. Seriation Methods for archaeological materials. American Antiquity 36 (3): 263-74.
2. Gelfand, A.E. 1971. Rapid seriation methods with archaeological applications. Mathematics in the Archaeological and Historical Sciences. Edinburgh University Press, pp. 186-201.
3. Gelfand, A.E. (with H. Solomon) 1973. A study of Poisson's models for jury verdicts in criminal and civil trials. J. Amer. Statist. Assoc. 68 (342): 271-78.
4. Gelfand, A.E. 1974. Rapid seriation methods for multivariate observations through similarities. Commun. in Statist. 3 (7): 635-45.
5. Gelfand, A.E. (with D.L. Thomas) 1974. Confidence coefficients for binomial interval estimates under hypergeometric models. Amer. Statistician 28 (2): 52-56.
6. Gelfand, A.E. (with H. Solomon) 1974. Modeling jury verdicts for the American legal system. J. Amer. Statist. Assoc. 69 (345): 32-38.
7. Gelfand, A.E. (with H. Solomon) 1975. Analyzing the decision making process of the American jury. J. Amer. Statist. Assoc. 70 (350): 305-10.
8. Gelfand, A.E. 1976. A comparison of several attribute sampling plans. Naval Res. Logistics Quart. 23 (3): 513-23.
9. Gelfand, A.E. (with D.L. Thomas) 1976. Discrimination between the binomial and hypergeometric models. Commun. in Statist. 5 (3): 225-40.
10. Gelfand, A.E. (with C.C. Walker) 1977. The distribution of cycle lengths in a class of abstract systems. Internat. J. General Syst. 2 (4): 39-46.
11. Gelfand, A.E. (with H. Solomon) 1977. Considerations in building jury behavior models. Jurimetrics Journal 17 (4): 292-314.
12. Gelfand, A.E. 1977. Are 6-member juries really as good as 12-member juries? Trial Magazine 13 (2): 41-43.
13. Gelfand, A.E. 1977. Toward characterizing Boolean transformations. Proceedings of the Society for General Systems Research (February), pp. 111-16.
14. Gelfand, A.E. (with H. Solomon) 1977. Rejoinder to "On the Effect of Jury Size." J. Amer. Statist. Assoc. 72 (359): 536-37.
15. Gelfand, A.E. (with H. Solomon) 1977. An argument in favor of 12-member juries. Modeling the Criminal Justice System. Sage Criminal Justice System Annals, Sage Publications (March), pp. 205-23.
16. Gelfand, A.E. (with C.C. Walker) 1978. Managing Complex Systems: An Application of Ensemble Methods in System Theory. Applied General Systems Research, Recent Developments and Trends, G. Klir, ed. New York: Plenum Press. pp. 175-85.
17. Gelfand, A.E. (with C.C. Walker) 1978. A model for complex organization with applications to managerial strategy and advertising policy. Proceedings of the Business and Economic Statistics Section. 1978 ASA Meeting, pp. 232-36.
18. Gelfand, A.E. (with J.E. Davis) 1978. The jury list in Connecticut: Is the voter registration list truly representative? Connecticut Bar Journal 52 (6): 449-74.
19. Gelfand, A.E. (with C.C. Walker) 1978. A system theoretic approach to the management of complex organizations: Management by exception, priority and input span in a class of fixed structure models. Behavioral Science 24: 112-20.
20. Gelfand, A.E. (with W.R. Stephenson) 1979. A model for precedential value of appellate court decisions. Proceedings of the Social Statistics Section. 1979 ASA Meeting, pp. 559-63.
21. Gelfand, A.E. 1980. Statistics in Archaeology. In: Encyclopedia of Statistical Sciences, Vol. I. John Wiley & Sons, Inc., pp. 118-22.
22. Gelfand, A.E. (with C.C. Walker) 1980. A system theoretic approach to the management of complex organizations: Management by consensus and its interaction with other management strategies. Behavioral Science 25 (4): 250-60.
23. Gelfand, A.E. (with P. Shuchman) 1980. Can judges select cases of "No Precedential Value"? Emory Law Review 29: 193-228.
24. Gelfand, A.E. 1981. An estimation problem for Poisson processes. Australian Journal of Statistics 23 (2): 1-8.
25. Gelfand, A.E. (with C.C. Walker) 1982. On the character of and distance between states in a binary switching net. Biological Cybernetics 43: 79-86.
26. Gelfand, A.E. 1982. A behavioral summary for completely random nets. Bull. Math. Biol.- 44 (3): 309-20.
27. Gelfand, A.E. (with P. Cattin and J. Danes) 1983. A simple Bayesian procedure for estimation in a conjoint model. J. of Marketing Research, Vol. XX, pp. 29-35.
28. Gelfand, A.E. 1983. Estimation in noncentral distributions. Commun. in Statist. 12 (4): 463-475.
29. Gelfand, A.E. (with W.R. Stephenson) 1984. An examination of U.S. appellate court opinions. Proceedings of the Second Workshop on Law and Justice Statistics. Washington, D.C. pp. 37-45.
30. Gelfand, A.E. 1984. On attribute importance and relative market shares in conjoint analysis. Proceedings of the Business and Economics Statistics Section, 1984 ASA Meeting, pp. 243-248.
31. Gelfand, A.E. (with P. Cattin) 1985. A new non-metric conjoint method: some
preliminary results. Proceedings of the Association for Consumer Research.
32. Gelfand, A.E. 1986. Review of "An Economic Analysis of Crime" by P. Schmidt and A. Witte, JASA 81 pp. 250-251.
33. Gelfand, A.E. 1986. Review of "Prediction in Criminology" by D.P. Farrington and R. Tarling, JASA 81 pp. 872-873.
34. Gelfand, A.E. 1987. Review of "Statistical Methods in Discrimination Litigation" by D.H. Kaye and M. Aicken, Jurimetrics 27, 3 pp. 325-327.
35. Gelfand, A.E. 1987. Reconsidering Inference in Conjoint Analysis Proceedings of ASA Business and Economics Section pp. 135-141.
36. Gelfand, A.E. 1987. Mean Square Error Behavior for Prediction in Linear Regression, Communications in Statistics 16 (6) pp. 1717-1724.
37. Gelfand, A.E. 1987. Estimation in Parametric Mixture Families: In Contributions to the Theory and Application of Statistics, pp. 379-396.
38. Gelfand, A.E. 1988. Estimation of a Restricted Variance Ratio, Proceedings of 2nd International Tampere Conference in Statistics pp. 457-466.
39. Gelfand, A.E. (with D.K. Dey) 1988. On the Estimation of Variance Ratios, Journal of Statistical Planning and Inference. 19 pp. 121-131.
40. Gelfand, A.E. (with D.K. Dey) 1988. Improved Estimation of a Disturbance Variance, Journal of Econometrics, 39 pp. 387-395.
41. Gelfand, A.E. (with A. Das Gupta and D. K. Dey) 1988. A new admissibility
theorem with applications to estimation of survival and hazard rates and means in the
scale parameter family. Sankhya, A 50(2) pp. 269-281.
42. Gelfand, A.E. (with D.K. Dey) 1988. Improved Estimation of Variance Components in Mixed Models. Commun. in Statistics A, 17: pp. 3313-3331.
43. Gelfand, A.E. (with S. Leeds) 1989. Estimation for Dirichlet Mixed Models. Naval Research Logistics Quart. 36 (2) pp. 197-214.
44. Gelfand, A.E. (with B. Carlin) 1989. Approaches for Empirical Bayes Confidence Intervals for a Vector of Exponential Scale Parameters, Computing Science and Statistics Interface 1988 ASA, pp. 485-498.
45. Gelfand, A.E. (with D.K. Dey) 1990. Improved Estimation of a Patterned Covariance Matrix, Journal of Multivariate Analysis, Vol. 31, pp. 107-116.
46. Gelfand, A.E. (with S.R. Dalal) 1990. A note on Overdispersed Exponential Families, Biometrika 77, pp. 55-64.
47. Gelfand, A.E. (with B. Carlin) 1990. Approaches for Empirical Bayes Confidence Intervals, Journal Amer. Stat. Assoc. 85, pp. 105-114.
48. Gelfand, A.E. (with A.F.M. Smith) 1990. Sampling Based Approaches to Calculating Marginal Densities, Journal Amer. Stat. Assoc., 85, 398-409. [Reprinted in “Breakthroughs in Statistics”].
49. Gelfand, A.E. (with S. Hills, A. Racine-Poon and A.F.M. Smith) 1990. Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling. Journal Amer. Stat. Assoc., 85, 972-985.
50. Gelfand, A.E. (with B. Carlin) 1990. A Sample Reuse Method for Accurate Parametric Empirical Bayes Confidence Intervals, Journal Royal Stat. Soc., Ser. B 53, 189-200.
51. Gelfand, A.E. (with D.K. Dey) 1990. On measuring Bayesian robustness of contaminated classes of priors. Statistics and Decisions 9, 63-80.
52. Gelfand, A.E. (with A.F.M. Smith) 1991. Gibbs sampling for marginal posterior expectations. Communications in Statistics, Theory and Methods, 20 (5 and 6), 1747-1766.
53. Gelfand, A.E. (with L. Kuo) 1991. Nonparametric Bayesian bioassay including ordered polytomous response. Biometrika, 78, 657-666.
54. Gelfand, A.E. (with B. Carlin) 1991. An iterative Monte Carlo method for non-conjugate Bayesian analysis. Statistics and Computing 1, 119-128.
55. Gelfand, A.E. (with J. Wakefield, A.F.M. Smith) 1992. Efficient computation of random variates via the ratio-of-uniforms method. Statistics and Computing, 1, 129-133.
56. Gelfand, A.E. (with B. Carlin, A.F.M. Smith) 1992. Hierarchical Bayesian analysis of change point problems. Applied Statistics, 41, 389-405.
57. Gelfand, A.E. (with B. Crabtree, S. Zyzanski, W.L. Miller, P.J. O'Connor, D. Winsemius) 1992. Data analysis in primary care research: log linear models. Family Medicine, 24, 145-151.
58. Gelfand, A.E. (with J. Glaz, L. Kuo, T-M. Lee) 1992. Inference for the maximum cell probability under multinomial sampling. Naval Research Logistics, 39, 97-114.
59. Gelfand, A.E. (with B. Carlin) 1992. Bayesian inference for hard problems using the Gibbs sampler. In: Computing Science and Statistics Interface 1990, eds. C. Page, R. LePage, Springer-Verlag, New York, 29-37.
60. Gelfand, A.E. (with A.F.M. Smith) 1992. Bayesian statistics without tears: a sampling-resampling perspective. American Statistician, 46, 84-88.
61. Gelfand, A.E. (with D. Dey, H. Chang) 1992. Model determination using predictive distributions with implementation via sampling based methods (with discussion). Bayesian Statistics 4. Eds: J. Bernardo et al. Oxford University Press, 147-167.
62. Gelfand, A.E. (with A.F.M. Smith, T-M. Lee) 1992. Bayesian analysis of constrained parameter and truncated data problems. Journal Amer. Stat. Assoc., 87, 523-532.
63. Gelfand, A.E. (with N. Lange, B. Carlin). 1992. Hierarchical Bayes models for the progression of HIV infection using longitudinal CD4+ counts (with discussion). Journal Amer. Stat. Assoc., 87, 615-632. [JASA applications paper of the year].
64. Gelfand, A.E. 1992. Discussion to "Constrained Monte Carlo maximum likelihood for dependent data", Journal Royal Statistical Society, B, 54, 690-691.
65. Gelfand, A.E. 1993. Discussion to the papers of Smith and Roberts, Besag and Green, and Gilks et al, J. Royal Statistical Society, B, 55, 70-71.
66. Gelfand, A.E. 1993. Discussion to "Inference from Iterative Simulation using Multiple Sequences" and "Practical Markov Chain Monte Carlo", Statistical Science 7, 486-487.
67. Gelfand, A.E. (with A. Racine-Poon, A.F.M. Smith. J. Wakefield) 1993. Bayesian analysis of population models using the Gibbs sampler, Applied Statistics (43, 201-221).
68. Gelfand, A.E. 1993. Discussion to "Approximate Bayesian Inference with
the Weighted Likelihood Bootstrap", J. Royal Statistical Society B 56, 36-37.
69. Gelfand, A.E. (with B. Carlin) 1993. Maximum likelihood estimation for constrained or missing data models, Canadian Journal of Statistics 21, 303-311.
70. Gelfand, A.E. (with B. Carlin) 1993. Parametric likelihood inference for record breaking problems, Biometrika 80, 507-515.
71. Gelfand, A.E. (with C. Yiannoutsos) 1993. Subgraph approximations for large
directed graphical models, Statistical Decision Theory & Related Topics V, Eds. J. Berger and S. Gupta, Springer-Verlag, New York, 441-452.
72. Gelfand, A.E. (with D. Dey) 1994. Bayesian model choice: asymptotic and exact calculations, Journal Royal Statistical Society B 56, 501-514.
73. Gelfand, A.E. (with B. Mallick) 1994. Generalized linear models with unknown link function, Biometrika 81, 237-245.
74. Gelfand, A.E. (with J. Pai, N. Ravishanker) 1994. Bayesian analysis of concurrent time series with application to regional IBM revenue data. Journal of Forecasting 13, 463-479.
75. Gelfand, A.E. (with B. Mallick) 1995. Discussion to "Assessment and Propagation of Model Uncertainty", J. Royal Stat. Soc. B 57, 82-83.
76. Gelfand, A.E. (with S. Sahu) 1995. On Markov chain Monte Carlo acceleration. Journal of Computational and Graphical Statistics 3, 261-276.
68. Gelfand, A.E. (with B. Mallick, D. Dey) 1995. Modeling expert opinion: likelihoods under incomplete probabilistic specification. J. Amer Statist. Assoc. 90, 598-604.
69. Gelfand, A.E. (with B. Mallick) 1995. Bayesian analysis of semiparametric proportional hazards models. Biometrics, 51, 843-852 .
70. Gelfand, A.E. 1995. Model Determination Using Sampling-Based Methods, In: Markov Chain Monte Carlo In Practice, Eds. W. Gilks, S. Richardson and D. Spiegelhalter, Chapman Hall, London, 145-161.
71. Gelfand, A.E. (with B.P. Carlin) 1995. Comment on "Bayesian Computation and Stochastic Systems". Statistical Science 10, 43-46.
72. Gelfand, A.E. (with S. Sahu and B. Carlin) 1995. Efficient Parametrization for Normal Linear Mixed Effects Models, Biometrika 82, 479-488.
73. Gelfand, A.E. (with J. Marriott, N. Ravishanker, J. Pai) 1995. Bayesian analysis of ARMA processes: complete sampling based inference under exact likelihoods, Bayesian Statistics and Econometrics: Essays In Honor of Arnold Zellner, D. Berry, K. Chaloner and J. Geweke, Eds., J. Wiley and Sons, New York, 241-256.
74. Gelfand, A.E. (with S. Mukhopadhyay) 1995. On Nonparametric Bayesian Inference for the Distribution of a Random Sample, Canadian Journal of Statistics, 23, 411-420.
75. Gelfand, A.E. 1996. Discussion to "Empirical methods for combining likelihoods", J. Amer. Statist. Assoc., 91, 551-552.
76. Gelfand, A.E. (with B. Mallick) 1996. Semiparametric Errors in Variables Models; A Bayesian Approach. J. Stat. Planning and Inference, 52, 307-321.
77. Gelfand, A.E. (with J. Sfiridis) 1996. Bayesian Analysis of Financial Event Study Data. Advances in Econometrics, 11, 25-62.
78. Gelfand, A.E. (with S. Sahu and B. Carlin) 1996. Efficient Parametrization for Generalized Linear Mixed Models. Bayesian Statistics 5 Eds J. Bernardo, et al. Clarendon Press, Oxford, 165-180.
79. Gelfand, A.E. (with P. Vlachos) 1996. Issues in Bayesian Clinical Trial Design for Categorical Endpoint Models, In: Proceedings of the Biometrics Section, 1995 ASA Meeting.
80. Gelfand, A.E. 1997. Gibbs Sampling, In: Encyclopedia of Statistical Sciences (update), Eds. J. Kotz, C. Read, D. Banks, J. Wiley and Sons, New York, 283-291.
81. Gelfand, A.E. (with S. Mukhopadhyay) 1997. Dirichlet Process Mixed Generalized Linear Models, J. Amer. Statist. Assoc., 92, 633-639.
82. Gelfand, A.E. (with L. Waller, B.P. Carlin and H. Xia) 1997. Hierarchical Spatio-temporal Mapping of Disease Rates. J. Amer. Statist. Assoc., 92, 607-617.
83. Gelfand, A.E. (with B.K. Mallick and W. Polasek) 1997. Broken Biological Size Relationships: A Censored Semiparametric Regression Approach with Measurement Error. Journal of the American Statistical Association, 92, 836-845.
84. Gelfand, A.E. (with M.D. Ecker) 1997. Bayesian Variogram Modeling for an Isotropic Spatial Process. Journal of Agricultural, Biological and Environmental Statistics 2, 347-369.
85. Gelfand, A.E. (with D. Dey, F. Peng) 1997. Overdispersed Generalized Linear Models. Journal of Statistical Planning and Inference 64, 93-107.
86. Gelfand, A.E. (with S.K. Ghosh) 1998. Model Choice: A Minimum Posterior Predictive Loss Approach. Biometrika 85, 1-11.
87. Gelfand, A.E. (with S.K. Ghosh, J. Knight and C.F. Sirmans) 1998. Spatio-temporal modeling of residential sales markets, J. Business & Economic Stat. 16, 312-321.
88. Gelfand, A.E. (with S.K. Ghosh) 1998. A Latent Risk Approach for Modeling Individual Level Data Consisting of Multiple Event Times. Journal of Statistical Research 32, 23-39.
89. Gelfand, A.E. (with S.K. Ghosh, J. Knight and C.F. Sirmans) 1998. Analyzing Real Estate Data Problems Using the Gibbs Sampler. Real Estate Economics 26, 469-492.
90. Gelfand, A.E. (with S.K. Ghosh) 1998. Latent Waiting Time Models for Bivariate Event Times with Censoring. Sankhya B 60, 31-47.
91. Gelfand, A.E. (with B.P. Carlin and J.B. Kadane) 1998. Approaches for
Optimal Sequential Decision Analysis in Clinical Trials. Biometrics 54, 964-975.
92. Gelfand, A.E. (with P.K. Vlachos) 1998. Nonparametric Bayesian Group
Sequential Design. In: Practical Nonparametric and Semiparametric Bayesian Statistics, Eds: D. Dey, P. Mueller and D. Sinha, Springer Verlag Lecture Notes 133. 115-132.
93. Gelfand, A.E. (with D. Dey, T. Swartz and P. Vlachos) 1998. Simulation Based
Model Checking for Hierarchical Models., Test 7, 325-346.
94. Gelfand, A.E. 1998. Approaches to Semiparametric Bayesian Regression. In
Asymptotics, Nonparametrics and Time Series, Editor: Subir Ghosh. Marcel Dekker, Inc., New York 615-638.
95. Gelfand, A.E. (with M.D. Ecker) 1999. Modeling and Inference for
Geometrically Anisotropic Spatial Data. Mathematical Geology 31, 67-83.
96. Gelfand A.E. (with S. Sahu) 1999. Gibbs Sampling, Identifiability and Improper Priors in Generalized Linear Mixed Models. Journal American Statistical Association 94, 247-253.
97. Gelfand, A.E. (with M. Ghosh) 2000. Generalized Linear Models: A Bayesian View, In: Generalized Linear Models: A Bayesian Perspective, Eds: D.K. Dey, M. Ghosh and S. Ghosh, Marcel Dekker Press, 3-22.
98. Gelfand, A.E. (with N. Ravishanker and M.D. Ecker) 2000. Modeling and Inference for Binary Spatial Data. In: Generalized Linear Models: A Bayesian Perspective, Eds: D.K. Dey, M. Ghosh and S. Ghosh, Marcel Dekker Press 373-386.
99. Gelfand, A.E. (with F. Wang) 2000. Modeling the Cumulative Risk for a False
Positive Under Repeated Screening Events. Statistics In Medicine 19, 1865-1879.
100. Gelfand, A.E. (with S.K. Ghosh, C. Christiansen, S.B. Soumerai and T.J. McLaughlin) 2000. Proportional Hazards Models: A Latent Risks Approach. Applied Statistics 49, 385-397.
101. Gelfand, A.E. (with M.D. Ecker, C. Christiansen, S.B. Soumerai and T.J. McLaughlin) 2000. Conditional Categorical Response Models with Application to Treatment Compliance for and Survival of AMI Patients. Applied Statistics 49, 171-186.
102. Gelfand, A.E. (with A. Mugglin and B.P. Carlin) 2000. Fully Model Based Approaches for Misaligned Spatial Data. Journal American Statistical Association 95, 877-887.
103. Gelfand, A.E. (with P. Vounatsou and T. Smith) 2000. Modeling of Multinomial data with latent structure: application to geographical mapping of human gene and haplotype frequencies. Biostatistics 1, 177-189.
104. Gelfand, A.E. 2000. Gibbs Sampling. Journal of the American Statistical Association, 95, 1300-1304. (Reprinted in Statistics in the 21st Century, Edited by A.E. Raftery, M.A. Tanner and M.T. Wells, Chapman and Hall/CRC 2001, 341-350).
105. Gelfand, A.E. 2000. (with C.L. Christiansen, F. Wang, M.B. Barton, W. Kreuter, J.G. Elmore and S.W. Fletcher). Predicting the Cumulative Risk of False Positive Mammograms. Journal National Cancer Institute, 92, 1657-1666.
107. Gelfand, A.E. (with S. Banerjee and W. Polasek) 2000. Geostatistical Modeling for Spatial Interaction Data with Application to Postal Service Performance. Journal of Statistical Planning and Inference, 90, 87-105.
108. Gelfand, A.E. (with A. Kottas) 2001. Nonparametric Bayesian Modeling for Stochastic Order. Annals of the Institute of Statistical Mathematics 53, 865-876.
109. Gelfand, A.E. (with B.P. Carlin and M. Trevisani) 2001. On Computation using Gibbs Sampling for Multilevel Models. Statistica Sinica 11, 981-1003.
110. Gelfand, A.E. (with L. Zhu and B.P. Carlin) 2001. On The Change of Support Problem for Spatio-Temporal Data. Biostatistics 2, 31-45.
111. Gelfand, A.E. (with B.P. Carlin and L. Zhu) 2001. Accommodating Scale Misalignment In Spatio-Temporal Data, In: Bayesian Methods with Applications to Science, Policy and Official Statistics, p. 81-90.
112. Gelfand, A.E. (2001) Gibbs Sampling In: Statistics In the 21st Century. Eds: A.E. Raftery, M.A. Tanner, M.T. Wells, Chapman Hall/CRC, Boca Raton 341-349.
113. Gelfand, A.E. (with A. Kottas) 2001. Bayesian Semiparametric Median Regression Modeling. Journal American Statistical Association 96, 1458 - 1468.
114. Gelfand, A.E. (with A. Kottas) 2001 Modeling Variability Order: A Semiparametric Bayesian Approach. Methodology and Computing In Applied Probability. 3, 427-442.
115. Gelfand, A.E. (with A. Kottas) 2002. A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems. Journal of Computational and Graphical Statistics 11, 289-305. [JCGS Special Paper].
116. Gelfand, A.E. (with D. Agarwal and J. Silander) 2002. Investigating Tropical Deforestation Using Two Stage Spatially Misaligned Regression Models. Journal Agricultural, Biological and Environmental Statistics 7, 420-439.
117. Gelfand, A.E. (with Carlin, B.P., Mugglin, A.S., and Zhu, L.) 2002. Modeling spatio-temporally misaligned areal and point process environmental data. In: Quantative Methods for Current Environmental Issues. Eds: C. Anderson, et. al. London, Springer Verlag 3-35.
118. Gelfand, A.E. 2002. Bayesian Computation, Encyclopedia of Environmetrics. Eds: A.H. El-Shaarawi and W.W. Piegorsch, Vol. 1 p. 150-151.
119. Gelfand, A.E. 2002. Bayesian Methods and Modeling, Encyclopedia of Envirometrics. Eds: A.H. El-Shaarawi and W. W. Piegorsch, Vol. 1, P. 155-160.
120. Gelfand, A.E. (with S. Banerjee) 2002. Prediction, Interpolation and Regression for Spatially Misaligned Data Points. Sankhya 64, 227-245.
121. Gelfand, A.E. (with D. Agarwal and S. Pousty) 2002. Zero-Inflated Regression Models for Spatial Count Data. Environmental and Ecological Statistics 9, 341-355.
122. Gelfand, A.E. (with M. Branco and A. Kottas) 2002. Nonparametric Bayesian modeling approach for Cytogenetic Dosimetry. Biometrics 58, 593-600.
123. Gelfand, A.E. (with F. Wang) 2002. A Simulation Based Approach to Sample Size
Determination under a Given Model and for Separating Models. Statistical Science 17,
193-208.
124. Gelfand, A.E. (with M. Trevisani) 2002. Discussion to “Bayesian Measures of Model Complexity and Fit”. Journal of the Royal Statistical Society, B., 631.
125. Gelfand, A.E. (with M. Haran, B.P. Carlin, J.L. Adgate, G. Ramchandran and L.A. Waller) 2002 Hierarchical Bayes Models for Relating Particulant Matter Exposure Measures. Case Studies in Bayesian Statistics, Volume XI , eds: C. Gatsonis, et al. Springer-Verlag, New York, 239-257.
126. Gelfand, A.E. (with J.M. Clapp, H-J Kim) 2002. Spatial Prediction of House Prices Using LPR and Bayesian Smoothing. Real Estate Economics 30.
127. Gelfand, A.E. (with J. Sfiridis) 2002. A Survey of Sampling-based Bayesian Analysis for Financial Data. Applied Mathematical Finance 9, 273-290.
128. Gelfand, A.E. (with P. Vounatsou) 2002. Proper Multivariate Conditional Autoregressive Models for Spatial Data Analysis. Biostatistics 4, 11-25.
129. Gelfand, A.E. 2003 Discussion to “Noncentral Parameterizations for Hierarchical Models and Data Augmentation” In Bayesian Statistics 7, Eds: J. Bernardo, et al. 321-322.
130. Gelfand, A.E. 2003 Some comments on model criticism. In: Highly Structured Stochastic Systems. Eds: P.J. Green, N.L. Hjort and S. Richardson, Oxford University Press, Oxford 449-453.
131. Gelfand, A.E. (with M.D. Ecker) 2003. Spatial Modeling and Prediction Under Range Anisotropy. Environmental and Ecological Statistics. 10, 165-178.
132. Gelfand, A.E. (with P. Vlachos) 2003. On the Calibration of Bayesian Model Choice Criteria. Journal of Statistical Planning and Inference 111,223-234.
133. Gelfand, A.E. (with P. Vounatsou and T. Smith) 2003. Spatial modeling of gene frequencies in the presence of undetectable alleles. Journal of Applied Statistics 30, 49-62.
134. Gelfand, A.E. (with A.M. Schmidt) 2003. A Bayesian Coregionalization Approach for Multivariate Pollutant Data, Journal of Geophysical Research - Atmosphere 108, D24, 8783.
135. Gelfand, A.E. (with S. Banerjee) 2003. On Smoothness Properties of Spatial Processes, Journal of Multivariate Analysis 84, 85-100.
136. Gelfand, A.E. (with R. Fu, K. Holsinger) 2003. Exact Moment Calculations for Genetic Models, Journal of Theoretical Population Biology 63, 231-243.
137. Gelfand A.E. (with L. Zhu, and B.P. Carlin) 2003. Hierarchical Regression with Misaligned Spatio Temporal Data: Relating ambient ozone and pediatric asthma ER visits in Atlanta. Envirometrics 14, 537-557.
138. Gelfand A.E. (with H-.J. Kim, C.F. Sirmans and S. Banerjee) 2003. Spatial Modeling with Spatially Varying Coefficient Processes. Journal of the American Statistical Association 98, 387-396.
139. Gelfand, A.E. (with S. Banerjee and C.F. Sirmans) 2003. Directional Rates of Change under Spatial Process Models. Journal of the American Statistical Association 98, 946-954.
140. Gelfand, A. E. (with A. Kottas) 2003. Bayesian Semiparametric Regression for Median Residual Life. Scandinavian Journal of Statistics 30, 651-665.
141. Gelfand, A.E. (with M. Trevisani) 2003. Inequalities between Expected Marginal Log Likelihoods with Implications for Likelihood-based Model Comparison. Canadian Journal of Statistics 31, 239-250.
142. Gelfand, A.E. (with M.D. Ecker, J.R. Knight and C.F. Sirmans) 2004. The Dynamics of Location In Home Price. Journal of Real Estate, Finance, and Economics 29,149-166.
143. Gelfand, A.E. (with S. Banerjee, J.R. Knight and C.F. Sirmans) 2004. Nonstationary Spatial Modeling through Normalized Distance-Weighted Sums of Stationary Processes. Journal of Business and Economic Statistics 22, 206-213.
144. Gelfand, A.E. (with A.M. Latimer, J.A. Silander, Jr., A.G. Rebelo and D.M. Richardson) 2004. Quantifying threats to biodiversity from invasive alien plants and other factors: a case study from the Cape Floristic Region. South African Journal of Science, 100, 81-86.
145. Gelfand, A.E. 2004. Discussion to: Statistical Research: Some Advice for Beginners, The American Statistician 58, 197-199.
146. Gelfand, A.E. (with A. Majumdar, and S. Banerjee) 2004. Spatio-temporal Change Point Modeling. Journal Statistical Planning and Inference 130, 1-2, 149-166.
147. Gelfand, A.E. (with A.M. Schmidt, S. Banerjee, and C.F. Sirmans) 2004. Nonstationary Multivariate Process Modelling through Spatially Varying Coregionalization (with discussion), TEST 13, 2, 263-312.
148. Gelfand, A.E. (with J.A. Silander, Jr., S. Wu, A. Latimer, P.O. Lewis, A.G. Rebelo and M. Holder) 2005. Explaining Species Distribution Patterns through Hierarchical Modeling, Bayesian Analysis 1, 1, 41-92.
149. Gelfand, A.E. (with A.M. Schmidt, S. Wu, J.A. Silander, A. Latimer and A.G. Rebelo) 2005. Explaining Species Diversity through Species Level Hierarchical Modeling. Applied Statistics 54, 1-20.
150. Gelfand, A.E. (with S. Banerjee and D. Gamerman) 2005. Spatial Process Modelling for Univariate and Multivariate Dynamic Spatial Data, Environmetrics 16, 1-15.
151. Gelfand, A.E. (with D. Agarwal) 2005. Slice Gibbs Sampling for Simulation Based Fitting of Spatial Models. Statistics and Computing 15, 61-69.
152. Gelfand, A.E. (with J. Valenti, S. Wu, and C.F. Sirmans) 2005. Apartment Rent Predictions Using Spatial Modeling, Journal of Real Estate Research 27, 1, 105-136.
153. Gelfand, A.E. (with D. Agarwal, J. Silander, J. Mickelson and R. Dewar) 2005. Relating Tropical Deforestation and Population Pressure through Spatially Explicit Misaligned Bivariate Regression Models. Ecological Modelling, 185, 105-131
154. Gelfand, A.E. (with M. Short and B.P. Carlin) 2005. Covariate-adjusted Spatial CDF’s for Air Pollutant Data. Journal of Agricultural, Biological and Environmental Statistics, 10, 259-275
155. Gelfand, A.E. (with A. Kottas and S.N. MacEachern) 2005. Bayesian Nonparametric Spatial Modeling with Dirichlet Process Mixing. Journal of the American Statistical Association, 100, 1021-1035
156. Gelfand, A.E. (with S. Sahu) 2005. Discussion to “On Model Expansion, Model Contraction, Identifiability and prior Information: Two Illustrative Scenarios Involving Mis-measured Variables, Statistical Science, 20, 130-131
157. Gelfand, A.E. (with P. Paliwal, L. Abraham, W. Barlow and J. Elmore) 2005. Chronological Event Modeling for Screening Mammography. Statistics in Medicine, 24, 267-283
158. Gelfand, A.E. (with S. Sahu and D.M. Holland) 2006. Spatio-temporal Modeling for Fine Particulant Matter. Journal of Agricultural, Biological and Environmental Statistics, 10, 259-275
159. Gelfand, A.E. (with A. Majumdar, H. Munneke, S. Banerjee and C.F. Sirmans) 2006. Gradients in Spatial Response Surfaces with Application to Urban Land Values, Journal of Business and Economic Statistics 24, 77-90.
160. Gelfand, A.E. (with A. Latimer, S. Wu and J.A. Silander, Jr.) 2006. Building Statistical Models to Analyze Species Distributions, Ecological Applications 16, 33-50
161.
Gelfand, A.E. (with P. Paliwal) 2006. Estimating Measures of Diagnostic Accuracy
when some covariate information is missing. Statistics in Medicine, 25, 2981-2993.
164. Gelfand, A.E. (with J. Barber and J.A. Silander) 2006. Modeling Map Positional Error to infer about True Feature Location. Canadian Journal of Statistics, 34, 659-676
165. Gelfand, A.E. (with M. Guindani) 2006. Smoothness Properties and Gradient Analysis under Spatial Dirichlet Process Models, Models and Computing in Applied Probability, 8, 159-189
166. Gelfand, A.E. (with J.S. Clark) 2006. A future for models and data in ecology, Trends in Ecology and Evolution, 21,7,375-380
167. Gelfand, A.E. (with S. Banerjee, C. F. Sirmans, Y. Tu and S. E. Ong) 2007 Multilevel Modelling Using Spatial Processes: Application to the Singapore Housing Market, Computational Statistics and Data Analysis, 51, 3567-3579
168. Gelfand, A.E. (with D.B. Woodard, W.E. Barlow, and J. G. Elmore) 2007. Performance Assessment for Radiologists Interpreting Screening Mammography, Statistics and Medicine, 26, 1532-1551
Using Convolved Covariance Functions, Mathematical Geology, 79, 225-245
170. Gelfand, A.E. (with M. Guindani and S. Petrone) 2007. Bayesian nonparametric modeling for spatial data analysis using Dirichlet processes (with discussion), Bayesian Statistics 8, Eds: Bernardo, J., et al., Oxford University Press, 175-200
171. Gelfand, A.E. (with J. Barber) 2007. Hierarchical Spatial Modeling for Estimation of Population Size. Environmental and Ecological Statistics, 14, 193-205
172. Gelfand, A.E. (with J. Duan and M. Guindani) 2007 Generalized Spatial Dirichlet Process Models. Biometrika , 94, 809-825
173. Gelfand, A.E. (with S. Bhattacharya and K. Holsinger) 2007. Model Fitting and Inference Under Latent Equilibrium Processes, Statistics and Computing, 17, 193-208
174. Gelfand, A.E. (with S.K. Sahu and D.M. Holland) 2007. High-Resolution Space-time Ozone Modeling for Assessing Trends, Journal of the American Statistical Association, 102, 1221-1234
175. Gelfand, A.E. (with A. Rappold and D.M. Holland) 2008 Understanding Mercury Deposition Through Latent Space-time Processes, Journal of the Royal Statistical Society, Series C, 2, 187-205
176. Gelfand, A.E. (with A. Kottas and J. Duan) 2008 Spatial and Spatio-temporal Dirichlet Process Mixtures with Application to Modeling Disease Incidence Data., Biometrical Journal, 50, 29-42
177. Gelfand, A.E. (with A.Rodriguez and D. Dunson) 2008 Nested Dirichlet Processes, Journal of the American Statistical Association, (JASA Theory and Methods paper of the year, with discussion), 1131-1154
178. Gelfand, A. E. (with S. Banerjee, A. O. Finley and H. Sang} 2008 Gaussian Predictive Process Models for Large Spatial Datasets, Journal of the Royal Statistical Society, B, 70, 4, 825-848
179. Gelfand, A.E. (with H. Sang, C. Lennard, G. Hegerl and B. Hewitson) 2008 Interpreting Self Organizing Maps Through Space-time Data Models. Annals of Applied Statistics, 2, 1194-1216
180. Gelfand, A.E. (with G. Puggioni and J. G. Elmore) 2008 Joint Modeling of Sensitivity and Specificity, Statistics and Medicine, 27, 1745-1761
181. Gelfand, A.E. (with A. Rodriguez and D. Dunson) 2009 Nonparametric Functional Data Analysis through Bayesian Density Estimation Biometrika, 96, 149-162
183. Gelfand, A.E. (with H. Sang) 2009 Hierarchical Modeling for Extreme Values Observed over space and time, Environmental and Ecological Statistics, 16, 407-426
184. Gelfand, A.E. (with A. Finley, H. Sang, and S. Banerjee) 2009 Improving the Performance of Predictive Process Modeling for Large Datasets, Computational Statistics and Data Analysis, 53, 2873-2884
185. Gelfand, A.E. (with S. Petrone and M. Guindani) 2009 Hybrid Dirichlet Processes for Functional Data, Journal of the Royal Statistical Society – B, 71, 755-782
186. Gelfand, A.E. (with A. M. Wilson, A.E. Latimer, J.A. Silander, Jr., H. de Klerk) 2009. Modeling Wildfire in a Mediterranean biodiversity hotspot: implications of weather variability and global circulation, Ecological Modelling, 221, 106-112
187. Gelfand, A.E. (with S. Liang and B.P. Carlin) 2009. Analysis of Marked Point Patterns with Spatial and Nonspatial Covariate Information, Annals of Applied Statistics, 3, 943-962
188. Gelfand, A.E. (with J. Duan and C.F. Sirmans) 2009. Space-time Point Process Model Using Differential Equations with Application to Urban Development, Bayesian Analysis, 4,4, 733-758
189. Gelfand, A.E. (with V.J. Berrocal and D. M. Holland) 2010. A Spatio-temporal Downscaler for Output from Numerical Models, Journal of Agricultural, Biological and Environmental Statistics, 14, 176-197 (Best paper in JABES, 2010-11 Award)
190. Gelfand, A.E. (with G.Puggioni) 2010. Analyzing Space-time Sensor Network Data under Suppression and Failure in Transmission, Statistics and Computing, 20, 4, 409-419
191. Gelfand, A.E. (with S. Banerjee) 2010. Modeling Spatial Gradients on Response Surfaces, In: Frontiers of Statistical Decision Making and Bayesian Analysis, Eds: M-H. Chen, D.K. Dey, P. Mueller, D. Sun, K. Ye, Springer: New York, 467-483
192. Gelfand, A.E. (with S.K. Sahu and D.M. Holland) 2010. Fusing Point and Areal Level Space-time Data with Application to Wet Deposition, Journal of the Royal Statistical Society - C , 59,1, 77-103
193. Gelfand, A. E. (with E. Tassone and M.L.Miranda) 2010. Disaggregated Spatial Modeling for Areal Unit Categorical Data, Journal of the Royal Statistical Society - C (Applied Statistics) 59, 175-190
Maternal Age, Birth Order and Race: Differential Effects on Birthweight. Journal of
Epidemiology and Community Health, 2010 Nov 15, doi:10.1136/jech.2009.088567
Bayesian analysis of Birthweight and Censored Gestational Age using Finite
Mixture Models, Statistics in Medicine, 29(16), 1710-1723
210. Gelfand, A.E. (with M.L. Miranda, G. Swamy, S.Edwards, P. Maxson, S. James)
2010. Disparities in Maternal Hypertension and Pregnancy Outcomes: Evidence
from North Carolina, 1994-2003, Public Health Reports, July/August 125(4), 579-587
211.Gelfand, A.E. (with H. Sang) 2010. Continuous Spatial Process Models for
Spatial Extreme Values, Journal of Agricultural, Biological, and Environmental
Statistics, 15, 49-65
212.Gelfand, A.E. (with V.J. Berrocal, M.L.Miranda, D.M. Holland, J. M. Burke) 2011. On the Use of a PM2.5 Exposure Simulator to Explain Birthweight, Environmetrics, 22,
553- 571
213.Gelfand, A.E. (with X-L. Nguyen) 2011 The Dirichlet Labeling Process for Functional Data Analysis, Statistica Sinica, 21, 1249-1289
214.Gelfand, A.E. (with A. M. Wilson, J.A. Silander, Jr., J.H. Glenn) 2011 Scaling up: linking field data and remote sensing with a hierarchical model, Journal of Geographic
Information Science, 25, 509-521
215.Gelfand, A.E. (with S. Banerjee) 2011 Discussion to “Spatial prediction in the presence of positional errors”, Environmetrics, 22, 130
216.Gelfand, A.E. (with M. J. Heaton) 2011 Spatial prediction using kernel
averaged predictors, Journal of Agricultural, Biological, and Environmental
Statistics, 10, 233-252
217.Gelfand, A.E. (with A.
Chakraborty, J. A. Silander, Jr., A. Wilson, and A.
Latimer)
2011, Point pattern modeling for degraded presence-only data over large
regions, Journal
of the Royal Statistical Society, Series C (Applied Statistics), 60, 5,
757-776
218.Gelfand, A.E. (with S.C.
Gray and M.L. Miranda). 2011, Hierarchical Spatial
Modeling of Uncertainty in Air Pollution and Birth
Weight Study , Statistics in
Medicine, 30, 2187-2198
219.Gelfand, A.E. (with K. Lum) 2011, Local linear suppression
for wireless sensor network data, Brazilian Journal of Probability and
Statistics, 25,3, 392-405
220.Gelfand, A.E. (with R. Anthopolos, S. James, and M.L. Miranda) 2011, A
Spatial Measure of Neighborhood
Racial Residential Isolation Applied to
Low Birthweight, Preterm Birth
and Birthweight in North Carolina, Spatial and
Spatio-temporal Epidemiology, 2, 235-246
221.Gelfand, A. E. (with
M.J. Heaton and S. C. Gray) 2011 Process Modeling for
Contingency Tables with Ordered Categories, Statistical Modelling,
12(3), 211-228
222.Gelfand, A.E. (with R.
Guha Niyogi, A.O. Finley, and S. Banerjee) 2011
Adaptive Gaussian Predictive Process Models for Large Spatial Datasets,
Environmetrics, 22, 8, 997-1007
223.Gelfand, A. E. (with D.
Kim, M. L. Miranda, J. Tootoo, and P. Bradley), 2011 Spatial modeling for
Groundwater Arsenic Levels in North Carolina, Environmental Science Technology,
45 (11)
224.Gelfand, A.E. (with S.
Ghosh and T. Molhave ) 2012 Attaching uncertainty to
deterministic spatial interpolations, Statistical Methodology,9, 1-2,
251-264
225.Gelfand, A.E. (with A.
Finley and S. Banerjee) 2012 Bayesian dynamic modeling
for large space-time datasets using Gaussian predictive processes. Journal
of Geographical Systems, 14, 1, 29-47
226.Gelfand, A.E. (with S.
Banerjee and A. Finley) 2012 Spatial design for knot selection in knot-based
dimension reduction models, In: Spatio-temporal
design: Advances in efficient data
acquisition, Eds: J. M. Mateu and W. Mueller, J.Wiley
and
Sons, p.142-169
227.Gelfand, A. E. (with S.
Ghosh, K. Zhu, and J.S. Clark) 2012 The
k-ZIG:
flexible modeling for zero-inflated counts, Biometrics, 68, 3, 878-885
228.Gelfand, A.E. (with V.J.
Berrocal and D.M. Holland) 2012 Space-time data
fusion
under error in computer model output: an application to modeling air
quality, Biometrics, 68, 3, 837-848
229.Gelfand, A.E. (S. Ghosh
and J.S. Clark) 2012 Inference for size demography from
point pattern data using Integral Projection Models (Invited paper with
discussion)
Journal of Agricultural, Biological and Environmental Statistics, 17, 4,
641-699
230.Gelfand, A.E. (with K.
Lum) 2012 The asymmetric Laplace process for spatial quantile regression, (with
discussion) Bayesian Analysis 7, 235-276
231.Gelfand, A.E., 2012
Hierarchical Modeling for Spatial Data Problems, Spatial
Statistics, 1, 30-39
232.Gelfand, A. E. (with
M.J. Heaton) 2012 Kernel Averaged Predictors for Spatio-Temporal
Regression Models, Spatial Statistics 2, 15-32
233.Gelfand, A.E. (with S.K. Sahu and D.M. Holland) 2012 On the Effect of Preferential Sampling in Spatial Prediction, Environmetrics, 23, 7, 565-578
234.Gelfand, A. E. (with G. Jona Lasinio and M. Jona Lasinio) 2012 Spatial analysis of
wave direction data using wrapped
Gaussian processes, Annals of Applied
Statistics, Special Section on
Mathematics of Planet Earth, 6,4: 1478-1498
235.Gelfand, A.E. (with S.
Ghosh) 2013 Hierarchical Modeling. In: Bayesian Theory
and Applications: a Tribute to Adrian Smith, Edited by P. Damien, P. Dellaportas,
N. Polson, and D. Stephens. Oxford University Press, 33-49
236.Gelfand, A.E. 2013
Bayesian Inference, Encyclopedia of Environmetrics,
pp.183-189. DOI:
10.1002/9780470057339.vab007.pub2.
237.Gelfand, A.E. 2013
Bayesian Computation, Encyclopedia of
Environmetrics, pp.181-183. DOI:
10.1002/9780470057339.vab004.pub2.
238.Gelfand, A.E. (with F. Wang), 2013, Directional Data Analysis under the General
Projected Normal Distribution, Statistical Methodology, 10, 113-127
238.
Gelfand, A.E. (with A.
Chakraborty, M. A. Beamonte, M. P. Alonso, P. Gargallo,
M. Salvador), 2013, Spatial Interaction Models with Individual-level
data for Explaining
Labor Flows and Developing Local Labor Markets, Computational Statistics
and
Data Analysis, 58, 292—307.
239.Gelfand, A.E. (with M.
Trevisani) 2013. Spatial Misalignment Models for Small
Area Estimation: A Simulation Study.
In Advances in Theoretical and
Applied Statistics, ed: N. Torelli, Springer-Verlag, Heidelberg, 269-279
240.Gelfand, A.E. (with L. Paci and D.M.
Holland) 2013. Spatio-temporal modeling for
real-time ozone forecasting. Spatial Statistics, 4, 79-93
241.Gelfand, A.E. (with T.
Leininger, J. Allen, J.A. Silander, Jr.) 2013. Spatial regression modeling for
compositional data with many zeros. Journal of Agricultural, Biological and
Environmental Statistics, 18, 314-334
242.Gelfand, A.E. (with
Allen, J.M., Leininger, T.J., Hurd, J.D., Jr., Civco,
D.L.,
Silander, J.A., Jr.) 2013. Socioeconomics drive woody invasive plant
richness in
New England, USA through forest
fragmentation, Landscape Ecology, 28-9, 167
243.Gelfand, A.E. (with M. Terres, J. Allen, J.A. Silander,
Jr.) 2013. Analyzing
first flowering event data using
survival models with space and time varying covariates.
Environmetrics, 24, 5, 317-331
244.Gelfand, A.E.
(with Ghosh, S., and Clark, J.S)., 2013 Scaling Integral Projection
Models for Analyzing Size
Demography, Statistical Science, 28, 4, 641-658
245.Gelfand, A.E. (with J. Monteiro) 2014. Explaining Return Times for Wildfires,
Journal of Statistical Theory and Practice, 8(3), 534-545
246.Gelfand, A.E.
(with V.J. Berrocal, M.L. Miranda, and S. Bhattacharrya)
2014 Synthesizing Categorical
Datasets to Enhance Inference, Statistical
Methodology, 15, 25-45
247.Gelfand, A.E.
(with S. Ghosh, D. Bell, J.S. Clark, and P. Flikkema),
2014.
Process Modeling for Soil Moisture Using Sensor
Network Data. Statistical
Methodology, 17, 99-112
248.Gelfand, A.E.
(with K. Zhu, C.W. Woodall, S. Ghosh, and J.S. Clark) 2014
Dual impacts of
climate change: forest migration and turnover through life
history, Global
Change Biology 20, 251-264
249.Gelfand, A.E.
(with X-L. Nguyen) 2014 Bayesian nonparametric modeling for
functional analysis of variance,
AISM (Featured Issue: Bayesian Inference and
Stochastic Computation), 66(3),
495-526
250.Gelfand, A.E.
(with B. Neelon, M. L. Miranda) 2014 A multivariate
spatial
mixture model for areal data, JRSS-C, Applied Statistics,
63(5), 737-761
251.Gelfand, A.E. (with T,
Paiva, A. Chakraborty, J. Reiter) 2014 Imputation of
confidential data sets with
spatial locations using disease mapping models,
Statistics in Medicine, 33(11),
1928-1945
252.Gelfand, A.E.
(with Allen, J., Terres, M., Katsuki,
T., Iwamoto, K., Kobori,
H.,
Higuchi, H., Primack, R. B., Wilson, A., Silander, J.) 2014 Modeling daily flowering probabilities: expected impact of climate change on Japanese cherry phenology,
Global Change Biology 20(4),
1251-1263
253.Gelfand, A.E. (with V. Berrocal, D. Holland) 2014
Assessing exceedance of ozone
standards: space-time modeling of
fourth highest ozone concentrations,
Environmetrics
25(4), 279-291
254.Gelfand, A.E. (with F.
Wang) 2014 Modeling space and space-time data using
projected Gaussian processes,
Journal of the American Statistical Association, 109,
1565-1580
255.Gelfand, A.E. (with J.S. Clark, C. Woodall, and K. Zhu) 2014 More than
the sum of its parts: forest climate response from joint species distribution
models,
Ecological Applications, 24,
990-999
256.Gelfand, A.E. (with J. Brynjarsdottir) 2014 On covariate importance for
ecological regression models with
multivariate response, Journal of
Agricultural Biological and Environmental
Statistics, 19 (4), 479-500
257.Gelfand, A.E. (with E. M. Schliep, T.Q. Dong, and F.Li) 2014 Modeling individual tree growth by fusing diameter tape and increment core data, Invited,
25th anniversary issue of Environmetrics (16 DEC 2014, DOI: 10.1002/env.2324)
258.Gelfand, A.E. (with Finley, A.O., Banerjee, S.) 2015. spBayes: for large univariate
and multivariate point-referenced spatio-temporal data models. Journal of
Statistical Software, 63 (13)
259.Gelfand, A.E. (with F. Wang, G.Jona Lasinio) 2015 Joint spatio-temporal analysis of a linear and a directional variable: space-time modeling of wave heights and
wave directions in the Adriatic Sea, Statistica Sinica, 25 (1), 25-39
260.Gelfand, A.E. 2015 Comments on: comparing and selecting spatial predictors using local criteria, TEST 24, 29-30
261.Gelfand, A.E. (with B.P. Carlin and A.H. Herring) 2015 A Conversation with
Alan Gelfand, Statistical Science, 30 (3), 413-422
262.Gelfand, A.E. (with L.Paci, D. Cocchi) 2015 Bayesian data fusion modeling for
map uncertainty, Spatial Statistics, 12, 96-108
263.Gelfand, A.E. (with S. Banerjee) 2015 Bayesian Wombling. Wiley
Interdisciplinary Reviews, Computational Statistics, 7, 5, 307-315
264.Gelfand, A.E. (with M. Terres) 2015 Using Spatial Gradient Analysis to Clarify
Species Distributions with
Application to South African Protea, Journal of Geographic
Systems, 17, 227-247
265.Gelfand, A.E. (with M. Terres) 2015 Spatial Process Gradients and Their Use
in Sensitivity Analysis for Environmental Processes, Journal of Statistical Planning
and Inference, 168, 106-119
266.Gelfand, A.E. (with E. M. Schliep, J.S. Clark) 2015 Stochastic Modeling
for
the velocity of climate change, Journal of Agricultural, Biological and
Environmental Statistics, 20, 323-342
267.Gelfand, A.E. (with C. Rundel, E. M. Schliep, D.M. Holland) 2015 A data
fusion approach for spatial analysis of speciated PM2.5 across time,
Environmetrics , 26, 515-525
268.Gelfand, A.E. (with G. Mastroantonio and G. Jona Lasinio) 2016 Spatio-temporal
circular models with non-separable covariance structure, TEST, 25, 331-350
269.Gelfand, A.E. (with E. M. Schliep, J. S. Clark, K. Zhu) 2016 Modeling change in
forest biomass across
the eastern US, Environmental and Ecological Statistics, 23, 23-41
270.Gelfand, A.E.
(with A. Datta, S. Banerjee, A. O.
Finley) 2016 Hierarchical
Nearest-Neighbor Gaussian Process
Models for Large Geostatistical Datasets, Journal
of the American Statistical
Association, 514, 800-812
271.Gelfand, A.E. (with S. Ghosh, K. Zhu, J.S. Clark) 2016 Joint Modeling of
Climate
Response Surfaces for Adult and
Juvenile Trees, Journal of Agricultural, Biological,
and Environmental Statistics, 21,
111-130
272.Gelfand, A.E. (with E. M. Schliep and D.M. Holland) 2016 Autoregressive
spatially-varying coefficient models for predicting daily PM2.5 using VIIRS
satellite
AOT, Advances in Statistical Climatology, Meteorology, and
Oceanography,1, 59-74
273.Gelfand, A.E. (with G. Mastroantonio and G. Jona Lasinio) 2016 The wrapped
skew Gaussian process for analyzing spatio-temporal
data, Stochastic
Environmental Research and Risk Assessment, 30, 2231-2242
274.Gelfand, A.E. (with E.M. Schliep) 2016 Spatial analysis and Gaussian
processes:
a beautiful marriage, Spatial Statistics (Special Issue) 18, A, 86–104
275.Gelfand, A.E. (with S. Banerjee, A. Datta, and A. Finley) 2016 Scalable
Gaussian
Processes, Wiley Interdisciplinary Reviews, 8,5, 162-171
276.Gelfand, A.E. (with L. Paci, M. A. Beamonte, M. Rodrigues, F. Perez-Cabello) 2017 Space-time
modeling for post-fire vegetation recovery, Stochastic
Environmental Research and Risk Assessment, 31(1), 171-183
277.Gelfand, A.E. (with T. Leininger) 2017 Bayesian Inference and Model
Assessment for Spatial Point Patterns using Posterior Predictive Samples,
Bayesian
Analysis, 12, 1-30
278.Gelfand, A.E. (with J. Pan, V. Rao, P. Agarwal) 2016 Markov-modulated
marked
Poisson processes for check-in data, Proceedings of the 33nd International Conference
on Machine Learning, 2244-2253
279.Gelfand, A. E.
(with S. Banerjee) 2017 Bayesian
Modeling and Analysis of Geostatistical Data, Annual Review of Statistics and
Its Applications, 4, 245-266
280.Gelfand, A.E. (with E.M. Schliep, J.S. Clark, and B.J. Tomasek) 2017 Biomass
prediction using density dependent diameter distribution models, Annals
of
Applied Statistics, 11, 1,
340-361
281.Gelfand, A.E. (with S. Shirota) 2017 Space and Circular Time log Gaussian
Cox processes with application to crime event data, Annals of Applied
Statistics, 11, 2, 481-503
282.Gelfand, A.E. (with D. Taylor-Rodriguez, K. A. Kaufeld,
E.M. Schliep, and J. S.
Clark) 2017 Joint Species distribution modeling: dimension reduction
using Dirichlet
Processes, Bayesian Analysis, 12 (4), 939-967
283.Gelfand, A.E. (with S. Shirota) 2017 Approximate Bayesian Computation and
Model Assessment for Repulsive
Spatial Point Processes, Journal of Computational
and Graphical Statistics, 26, 3,
646-657
284.Gelfand, A. E, (with L. Paci, M.A. Beamonte, P. Gargallo, M. Salvador) 2017 Analysis of residential
property sales using space-time point patterns, Spatial Statistics, 21, 149-165
285.Gelfand, A.E. (with F.
Wang, J. Wang, F. Li) 2017 Accommodating the Ecological Fallacy in Disease
Mapping in the Absence of Individual Exposures, Statistics in
Medicine, 36, 4930-4942
286. Gelfand, A.E. (with P.A. White and T. Utlaut) 2017 Prediction and model
comparison for areal unit
data, Spatial Statistics, 22, 89-106
287. Gelfand, A.E.
(with E.M.Schliep, R. Mitchell, M. Aiello-Lammens,
J. A. Silander) 2018 Assessing the
joint behavior of species traits as filtered by
environment, Methods in Ecology and
Evolution, 9 (3), 716-727
288. Gelfand, A.E. (with E.M. Schliep and D. M. Holland) 2018 Alternating
Gaussian Process Modulated Renewal Processes for Modeling Threshold
Exceedances and Durations, Stochastic Environmental Research and Risk Assessment,
32, 401-417
289. Gelfand, A.E. (with F. Wang, J. Wang,
F. Li) 2019 Disease Mapping
with Generative Models, The American Statistician, 73(3), 213-223
DOI: 10.1080/00031305.2017.1392358
290. Gelfand, A.E. (with G. Jona Lasinio, G. Mastrantonio) 2019 Spatial and
spatio-temporal circular processes with
application to wave directions,
Applied Directional Statistics: Modern Methods and Case Studies, Eds: C. Ley and
T. Verdebout, Chapman & Hall, Chapter 7
291. Gelfand, A.E. (with E.M. Schliep, J. S.
Clark, and R. Kays) 2018
Modeling Proximate Species
Co-occurrence using Camera Trap Data, Journal
of Agricultural,
Biological and Environmental Statistics, 23(3), 334-357
292. Gelfand,
A. E. (with J.S. Clark) 2018 Accommodating so many zeros:
univariate and
multivariate data. In Handbook of Environmental and Ecological
Statistics, 211-239.
CRC Chapman Hall, Boca Raton.
293. Gelfand, A.E. (with A. Caponera, F. Denti, T. Rigon, and A. Sottosanti) 2019
Hierarchical spatio-temporal modeling of resting state fMRI data.
Studies in
Neural Data Science,
A. Canale et al. eds., Springer Proceedings in
Mathematics
and Statistics. p.111-130.
294. Gelfand, A.E. (with X. Lu and D.M.
Holland) 2018 Local Real-time Forecasting
of Ozone Exposure
using Temperature Data, Environmetrics, 27 (9), e2509
295. Gelfand, A.E. (with F. Wang and A.
Bhattacharya) Process modeling for slope and
aspect with
application to elevation map data (with discussion), 2018
TEST, 27(4), 749-786
296. Gelfand, A.E. (with S. Shirota and S.
Banerjee) 2019 Spatial Joint Species
Distribution
Modeling Using Dirichlet Processes, Statistica Sinica, 29,
1127-1154 DOI:10.5705/ss.202017.0482.
297. Gelfand, A.E. (with E. M. Schliep), 2019 Velocities
for space-time point patterns,
Spatial Statistics,
29, 204-225
298. Gelfand,
A.E. (with P.A. White, E.R. Rodrigues, and G. Tzintzun),
2019 Pollution
State Modeling for
Mexico City, JRSS-A 189, 1039-1060
299. Gelfand, A. E. (with L. Paci, M. A. Beamonte, P. Gargallo and M. Salvador),
2020, Spatial
hedonic modeling adjusted for preferential sampling, Journal RSS-A,
183, 169-192
300. Gelfand, A.E. (with S. Shirota) 2019 Preferential
sampling for presence/absence
data and for fusion
of presence/absence data with presence-only data,
Ecological
Monographs, 89(3):e01372
301. Gelfand, A. E. (with A. Shen), 2019 Exploring
geometric anisotropy for
point-referenced
spatial data, Spatial Statistics,
32 https://doi.org/10.1016/j.spasta.2019.100370
302. Gelfand, A.E. (with C. Hellmayr), 2021 A partition Dirichlet process model
for functional data
analysis, Sankhya - B, Special memorial issue for
J.K.
Ghosh, 83,
30-65
303. Gelfand, A. E., 2020, Statistical
Challenges in Spatial Plant Ecology,
Spatial Statistics,
Special Issue: Frontiers in Spatial Analysis,
37 https://doi.org/10.1016/j.spasta.2020.100418
304. Gelfand, A. E. (with P.A. White), 2021 Generalized
Evolutionary Point Processes:
Model Specifications
and Model Comparison, Methods and Computation in
Applied Probability,
23, 1001-1021
305. Gelfand, A.E. (with S. Shirota and J.
Mateu) 2020 Statistical Analysis of
Origin-Destination point
patterns: modeling car thefts and recoveries, Spatial
Statistics, 38 https://doi.org/10.1016/j.spasta.2020.100440
306. Gelfand, A.E., Multivariate Spatial
Process Models, 2021 Handbook of Regional
Science, Eds: M.
Fischer, P. Nijkamp, Springer Verlag, 1985-2016
307. Gelfand, A.E. (with P.A.White),
2021 Multivariate Functional Data Modeling
With Time-varying
Clustering, TEST, 30, 586-602
308. Gelfand, A.E. (with J. Hewitt and R.
Schick) 2021 Continuous time discrete
state modeling for
deep whale dives, JABES 26, 180-199
309. Gelfand, A. E. (with N. Virhs and J. Moller) 2022 Approximate Bayesian
inference for a
spatial point process model exhibiting aggregation and
regularity,
Scandinavian Journal of Statistics, 49, 185-211
310. Gelfand, A.E. (with S. Shirota), 2021 On
the role of odds ratios in joint
species distribution
modeling, Environmental and Ecological Statistics, 28, 287-302
311. Gelfand, A. E. (with E. Schliep, J. Asin. A. C. Cebrian, M. A. Beamonte, and
J. Abaurrea), 2021 Long-term Spatial Modeling for
Characteristics of Extreme
Heat Events, Jour
Royal Stat Soc, Series A, 184, 1070-1092
312. Gelfand, A.E. (with B. Tang and J.S.
Clark), 2021 Modeling Spatially Biased Citizen
Science Effort
Through the eBird Database, Environmental and
Ecological
Statistics, 28,
609-630
313. Gelfand, A.E. (with M A Bravo, M C Leong, and M L Miranda), 2021
Assessing Disparity Using Measures of Racial and Educational Isolation, International Journal of Environmental Research and Public Health, 18(17),
9384; https://doi.org/10.3390/ijerph18179384
314. Gelfand, A.E. 2023, Some noteworthy issues
in joint species distribution
modeling for plants,
New England Journal of Statistics in Data Science, 1, 102-109
315. Gelfand, A.E. 2022, Spatial modeling for
the distribution of species in
plant communities,
Spatial Statistics
(Special Issue) https://doi.org/10.1016/j.spasta.2021.100582
316. Gelfand, A.E. (with A. C. Cebrian, J. Asin, E.M. Schliep,
J. Castillo-Mateo,
M. A. Beamonte, and J. Abaurrea), 2022,
Spatio-temporal analysis of the extent of an
extreme heat event,
Stochastic Environmental Research and Risk
Assessment, 36
2737-2751
317. Gelfand, A.E. (with P.A. White, H. Frye,
M. F. Christensen, and J.A.Silander), 2022
Spatial Functional
Data Modeling of Plant Reflectances, Annals of
Applied
Statistics, 16 (3) 1919
-1936
318. Gelfand, A.E. (with J. Castillo-Mateo, M.
Lafuente Blasco, J. Asin, A. C. Cebrian,
and J. Abaurrea) 2022 Spatial modeling of day-within-year
temperature time series: an
examination of daily
maximum temperatures in Aragon, Spain, JABES, 27, 487-505
319. Gelfand, A.E. (with B. Tang, H. A. Frye, and
J.A. Silander) 2023 Zero-inflated
Beta distribution
regression modeling. JABES, 28, 117-137
320. Gelfand, A.E. (with J. Hewitt and R.S.
Schick) 2023 Time-discretization
approximation
enriches continuous-time discrete-space models for animal movement,
Annals of Applied
Statistics, 17(1), 740-760
321. Gelfand, A.E. (with A. Stein) 2022 The
Impact of Spatial Statistics (Editorial),
Spatial Statistics,
50, https://doi.org/10.1016/j.spasta.2022.100641
322. Gelfand, A.E. (with S. Shirota) 2022 Preferential
Sampling for Bivariate
Spatial Data, Spatial
Statistics, 51, https://doi.org/10.1016/j.spasta.2022.100674
323. Gelfand, A.E. (with J. Hewitt, N. J.
Quick, W. R. Cioffi, B. L. Southall, S. L.
DeRuiter,
and R. S. Schick) 2022 Kernel Density Estimation of Conditional Distributions
to detect responses
in satellite tag data, Animal Biotelemetry,
https://doi.org/10.1186/s40317-022-00299-7
324. Gelfand, A.E. (with J. Castillo-Mateo,
J. Asin, A. C. Cebrian,
and J. Abaurrea) 2023 Spatial quantile autoregression for season
within year daily
temperature data,
Annals of Applied Statistics, 17, 2305-2325
325. Gelfand, A.E. (with B. Tang, J.S. Clark,
and P. Marra) 2023 Species interactions
and movement: joint
species distribution modeling for environmental effects
on community
dynamics, Journal of Agricultural, Biological, and
Environmental
Statistics (JABES best paper award, 2023), 28(1), 178-195
326. Gelfand, A.E.
(with J. Castillo-Mateo, C. A. Hudak, C. A. Mayo, and R. S. Schick)
2023 Space-time multi-level modeling for zooplankton abundance employing
double
data fusion and calibration, Environmental and Ecological Statistics,
30, 769-795
327. Gelfand,
A.E. (with P.A. White, M. F. Christensen, H.A. Frye, and J.A.
Silander,
Jr) 2023 Joint Multivariate and Functional Modeling
for Plant Traits
and Reflectances, Environmental and Ecological
Statistics, 30 (3), 501-528
328. Gelfand, A. E. (with B. Tang, S.M. Roberts,
and J. S. Clark) 2024
Mechanistic modeling
of climate effects on redistribution and population growth in
a community of fish species,
Global Change Biology, 29, 22, 6399-6414
329. Gelfand, A. E. (with A.C. Cebrian, J. Asin, J.
Castillo-Mateo, J. Abaurrea)
2024 Assessing space
and time changes in daily maximum temperature in the Ebro
basin (Spain) using
model-based statistical tools, International Journal of
Climatology, 43(16),
8036-8051
330. Gelfand, A.E. (with J. Castillo-Mateo, J. Asin, A.C. Cebrian, and J. Abaurrea)
2024 Bayesian Joint
Quantile Autoregression, TEST, 33. 335-357
331. Gelfand, A.E. (with P.A.
White, H.A. Frye, J. A. Slingsby, J.A. Silander, Jr.) 2024
Generative Spatial Generalized Dissimilarity Modeling (spGDMM): an enhanced
approach to modelling beta diversity, Methods in Ecology and Evolution,
14,1,214-226
332. Gelfand, A.E. (with E.M. Schliep, C.W. Clark, C.M. Mayo, B. McKenna,
S. E. Parks, T. M. Yack, and R.S.
Schick), 2024 Assessing Marine Mammal
Abundance: A Novel Data Fusion,
Annals of Applied Statistics (forthcoming)
333. Gelfand, A. E. (with P. A. White, H. A.
Frye, J. A. Silander, Jr.) Good Modelling
Practice in Ecology, the
hierarchical Bayesian perspective.
Ecological
Modelling (forthcoming)
334. Gelfand, A. E. (with B. Tang, H. A. Frye,
and J.A. Silander, Jr.) Zero-
inflated
multivariate Tobit regression, Journal of Statistical Planning and
Inference
(forthcoming)
PAPERS SUBMITTED FOR PUBLICATION:
Gelfand, A.E. (with J. Castillo-Mateo, Z. G. Tabuenca, J. Asin, and A. C. Cebrian)
Spatio-temporal
modeling for record-breaking temperature events in Spain
Gelfand, A.E. (with B. Kang, E.M.
Schliep, T.M. Yack, C.W. Clark, and R.S.
Schick), Analyzing whale calling
through Hawkes process modeling.
Gelfand, A. E. (with G. Retegui, J. Etcheberria, M. D.
Ugarte) On prior smoothing
with discrete spatial data in the
context of disease mapping
UNPUBLISHED MANUSCRIPTS SINCE 1990
Gelfand,
A.E. (with C. Yiannoutsos) 1991. Simulation approaches for calculations in
directed graphical models.
Gelfand, A.E. (with B. Mallick) 1994. A Note on Bayesian Predictive Analysis.
Gelfand, A.E. (with P. Vlachos) 1995. Bayesian Clinical Trials Design for
Multivariate Categorical Patient Response.
Gelfand, A.E. (with P. Vlachos) 1996. Bayesian Decision Theoretic Design for Group
Sequential Medical Trials Having Multivariate Patient Response.
Gelfand, A.E. (with N. Ebrahimi, M. Ghosh and
S.K. Ghosh) 1997. Bayesian Analysis of
Change-Point Hazard Rate Models.
Gelfand, A.E. (with N. Ravishanker)
1999. Inference for Bayesian Variogram Models with Large Data Sets.
Gelfand,
A.E. (with S. Banerjee) 2000. Computing Marginal Posterior Modes Using
Stochastic Approximation.
Gelfand, A.E. (with K. Patra and D.K. Dey)
2000. Analysis of Mixtures of Improper Survival Distributions.
Gelfand,
A.E. (with D. Agarwal, C.F. Sirmans and T. Thibodeau)
2003. Flexible Nonstationary Modeling with Application to House Prices.
Gelfand,
A.E. (with S. Wu, P.O. Lewis, M. T. Holder and J.A. Silander,
Jr.). 2004 Adding history to ecological biogeography: a spatially-explicit,
historically-constrained hierarchical logistic regression model for species
presence/absence.
Gelfand,
A.E. (with G. Xia) 2005 Stationary Process Approximation for the Analysis of
Large Spatial Datasets
Gelfand, A.E. (with S. Wu) 2005. A Bayesian Model Comparison Criterion for Categorical Response Data
Gelfand, A.E. (with G. Xia and N.L. Hjort) 2006. Information Growth and Asymptotic Inference under Stochastic Process Models with Structured Dependence.
Gelfand, A.E. (with
K.N. Kyzyurova) 2014 Spatial modeling of ocean
temperature-depth
profiles using Gaussian processes
Gelfand, A.E. (with V. Berrocal) 2014 A
generalized conditionally
autoregressive (CAR) model
Gelfand, A.E. (with C.
Hellmayr) 2017 Investigating Bayesian nonparametric
priors
for functional data
analysis
Gelfand, A.E. (with S. Shirota) 2017
Inference for Log Gaussian Cox processes using an
approximate marginal posterior.
Gelfand, A.E. (with Clark, J.S., Bachelot, B., Dunn, R.R., Kays, R., Nuñez,
C.,
Schliep, E.M.,
Taylor-Rodriguez, D., Tomasek, B.) 2018 Generative Models
forecast community reorganization
with climate change
Gelfand, A.E. (with B.
J. Tomasek, E.M. Schliep, and J.S. Clark) 2018 Moisture
stress,
the dominant force on
forest response to warming
Gelfand, A.E (with R. M. Mitchell, E. M. Schliep, G. M. Ames, J. P. Wright), 2018
Accounting for Intraspecific Variability in Functional Traits Reveals Differing Trait Strategies Within and Across Species
Gelfand, A.E. (with J. Hewitt, R. S. Schick, N. Quick) 2023 Markov
modeling for
a satellite tag data record of whale diving behavior