ISBA 2000 Talks
SUNDAY 28 MAY
- Tutorial 1 -- HIERARCHICAL MODELLING
(Abstract here) : 1:00pm-2:30pm
- David Draper, University of Bath, d.draper@maths.bath.ac.uk
- Tutorial 2 -- BAYESIAN COMPUTATION
(Abstract here): 2:45pm-4:15pm
- Bradley Carlin, University of Minnesota, brad@muskie.biostat.umn.edu
WELCOME & PLENARY SESSION: 5:00pm-6:00pm
- WELCOME 5:00pm-5:15pm
- George Kokolakis, Local Organising Committee
- Phil Dawid, President of ISBA and ISBA2000 Co-Chair
- PLENARY SESSION 5:15pm-6:00pm
- Introduction: Stephen Fienberg, Carnegie Mellon University
- Statistics & EUROSTAT: Photis Nanopoulos, Director of EUROSTAT
and ISBA 2000 Co-Chair
- and Klaus Reeh, Head of "Short Term Analysis" Unit, EUROSTAT
- Concluding comments: Stephen Fienberg, Carnegie Mellon University
MONDAY 29 MAY: TECHNICAL SESSIONS
- Track A:
BAYESIAN ANALYSIS IN OFFICIAL STATISTICS
- Organiser: David Rios Insua, University Rey Juan Carlos, drios@escet.urjc.es
- (with J.L. Cervera and P. Dellaportas)
- Chair: David Rios Insua
- Bayesian analysis in Official Statistics: The EUROSTAT "Bayoff" projectthe
- J.L. Cervera, INE - Spain, jlcervera@ine.es
- (with P. Dellaportas, J. Munoz, J.M. Marin, A. Menchero, J. Muruzabal and D. Rios Insua)
- Institutional evaluation: An application of Bayesian ordinal regression
- Armi Moreno, UP Madrid, amoreno@fi.upm.es
- PLAZA: A tourism management system
- J.M. Marin, University Rey Juan Carlos, j.m.marin@escet.urjc.es
- (with E. Fernandez, I. Olmeda and D. Rios Insua)
- Track B:
SPATIAL METHODS IN EPIDEMIOLOGY
- Organiser: Katja Ickstadt, Technische Universitaet Darmstadt, ickstadt@mathematik.tu-darmstadt.de
- Chair: Nicky Best, Imperial College, n.best@ic.ac.uk
- Spatial mixtures
- S. Richardson, INSERM Paris, richardson@vjf.inserm.fr
- (with P.J. Green)
- Joint disease mapping
- L. Knorr-Held, Universitaet Muenchen, leo@stat.uni-muenchen.de
- (with Nicky Best)
- Assessing the fit of disease mapping models
- H.S. Stern, Iowa State University, hstern@iastate.edu
- (with Noel Cressie)
- Track C:
PRACTICAL NONPARAMETRIC BAYESIAN METHODS IN APPLICATIONS
- Organiser: Debajyoti Sinha, University of New Hampshire and Medical University of South Carolina, hiyasinha@aol.com
- Chair: Debajyoti Sinha
- Prior distributions on symmetric groups
- Jayanti Gupta, University of Michigan, jayanti@umich.edu
- (with Paul Damien)
- Dependent nonparametric processes
- Steve MacEachern, Ohio State University, snm@stat.ohio-state.edu
- Full Bayesian inference under Dirichlet process modelling
- Alan Gelfand, University of Connecticut, alan@merlot.stat.uconn.edu
SESSIONS MON2: 11:00am-12:30pm
- Track A:
BAYESIAN KNOWLEDGE DISCOVERY IN OFFICIAL STATISTICS
- (a session on EUROSTAT sponsored research)
- Organiser: Paula Sebastiani, Imperial College London, p.sebastiani@ic.ac.uk
- Chair: Paula Sebastiani
- Learning graphical mixed models
- Steffen Lauritzen, Aalborg University, steffen@math.auc.de
- Naive Bayes or belief networks: A clear choice
- Niall Adams, Imperial College, n.adams@ic.ac.uk
- (with David Hand)
- Automated Bayesian modelling
- Marco Ramoni, Open University, m.ramoni@open.ac.uk
- Track B:
BAYESIAN METHODS IN MEDICINE: INFERENCE, DESIGN AND REGULATORY ISSUES
- Organiser: Peter Mueller, Duke University, pm@stat.duke.edu
- Chair: Peter Mueller
- Decision problems in drug development and relevance to regulatory approval
- Mike Krams, Pfizer, michael_krams@sandwich.pfizer.com
- (with Andy Grieve, Don Berry and Peter Mueller)
- Simulation-based methods for optimal sampling times in population PK/PD studies
- Jon Stroud, University of Chicago, stroud@che.uchicago.edu
- Meta-analyis of experiments on the change of VBR in schizophrenics
- M.J. Bayarri, University of Valencia, susie.bayarri@uv.es
- (with and A.M. Mayoral)
- Track C:
MODEL CHOICE AND RELATED ISSUES
- Organiser: Sanjib Basu, Northern Illinois University, basu@niu.edu
-
Chair: Joseph G. Ibrahim, Dana-Farber Cancer Institute, ibrahim@hsph.harvard.edu
- Marginal likelihood from the Metropolis-Hastings output
- Siddhartha Chib, Washington University, chib@olin.wustl.edu
- Bayesian model comparisons for survival data with a cure fraction
- Ming-Hui Chen, Worcester Polytechnic Institute, mhchen@wpi.edu
- Issues in the fitting of nonparametric Bayesian models
- Sanjib Basu, Northern Illinois University, basu@niu.edu
SESSIONS MON3: 3:00pm-4:30pm
- Track A:
REGULATORY, POLICY & DECISION ANALYSIS ISSUES IN CLINICAL TRIALS
- Organiser: Telba Irony, FDA, tzi@cdrh.fda.gov
- Chair: Alan Gelfand, University of Connecticut, alan@merlot.stat.uconn.edu
- Bayesian statistics at the FDA
- Telba Irony, FDA, tzi@cdrh.fda.gov
- Where's the utility in Bayesian data-monitoring in clinical trials?
- Deborah Ashby, Queen Mary and Westfield College, D.Ashby@mds.qmw.ac.uk
- Bayesian cost-effectiveness analysis for setting medical treatment policy
- Dennis G. Fryback, University of Wisconsin-Madison, dfryback@facstaff.wisc.edu
- Track B:
INFERENCE AND DECISION MAKING IN ECONOMICS AND FINANCE
- Organiser: Herman van Dijk, Erasmus University, hkvandijk@few.eur.nl
- Chair: Omar Aguilar, Merrill Lynch, omar@stat.duke.edu
- Daily exchange rates and optimal hedging of currency risks
- Herman van Dijk, Erasmus University, hkvandijk@few.eur.nl
- Bayesian nonlinear modelling of the short term US interest rate: The help of non parametric tools
- Michel Lubrano, GREQAM-CNRS, lubrano@ehess.cnrs-mrs.fr
- Bayesian analysis of the capital asset pricing model
- Frank Kleibergen, University of Amsterdam, kleiberg@fee.uva.nl
- Track C:
BAYESIAN ANALYSIS FOR DETERMINISTIC COMPUTER SIMULATIONS
- Organiser: Michael Goldstein, Durham University, michael.goldstein@durham.ac.uk
- Chair: Henry Wynn, Warwick University, hpw@stats.warwick.ac.uk
- Bayesian forecasting and calibration for complex phenomena using multi-level computer codes
- Michael Goldstein and Allan Seheult, Durham University, michael.goldstein@durham.ac.uk
- (with Peter Craig, and Jonty Rougier)
- Deterministic models: Calibrating and correcting for model inadequacy
- Tony O'Hagan, Sheffield University, a.ohagan@sheffield.ac.uk
- Modelling and uncertainty about high-dimensional parameters in simulations of fluid flow in porous media
- Herbie Lee, Duke University, herbie@isds.duke.edu
- (with David Higdon, Marco Ferreira and Mike West)
SESSIONS MON4: 5:00pm-6:30pm
- Track A:
BAYESIAN INSTRUMENTS FOR THE OFFICIAL STATISTICIAN'S TOOLKIT
- Organiser: Brunero Liseo, Università "La Sapienza" Roma, brunero@pow2.sta.uniroma1.it
- Chair: Partha Lahiri, University of Nebraska, plahiri@mathstat.unl.edu
- Evaluation of repeated sampling operating characteristics
of Bayesian methods for the analysis of complex survey data
- John L. Eltinge, Bureau of Labor Statistics and Texas A&M University, Eltinge_J@bls.gov
- Bayesian inference for generalized additive mixed models based on Markov random field priors,
with application to official unemployment data
- Stefan Lang, University of Munich, lang@stat.uni-muenchen.de
- Bayesian approaches for record linkage
- Brunero Liseo, Università "La Sapienza" Roma, brunero@pow2.sta.uniroma1.it
- (with M. Fortini and M. Scanu, Italian Institute of Official Statistics)
)
- Track B:
SIMULATION-BASED DESIGN
- Organiser: Josep Ginebra, Universitat Politecnica de Catalunya, ginebra@eio.upc.es
- (with Peter Mueller)
- Chair: Edwin Iversen, Duke University, iversen@stat.duke.edu
- Simulation-based sequential Bayesian design
- Peter Mueller, Duke University, pm@stat.cmu.edu
- Optimal design for portfolio selection
- Lynn Kuo, University of Connecticut, lynn@stat.uconn.edu
- Bayesian design for multiperiod control with multiple control variables
- Josep Ginebra, Universitat Politecnica de Catalunya, ginebra@eio.upc.es
- (with Enrique Gonzalez)
- Track C:
BAYESIAN TIME SERIES METHODS IN FINANCE
- Organiser: Giovanni Petris, University of Arkansas, gpetris@comp.uark.edu
- Chair: Fabrizio Ruggeri, CNR-IAMI, fabrizio@iami.mi.cnr.it
- Bayesian factor models in real-world portfolio investment studies
- Omar Aguilar, Merill Lynch, omar@stat.duke.edu
- (with Jose M Quintana and Mike West)
- On multivariate time-varying volatility models
- Petros Dellaportes, Athens University of Economics and Business, petros@aueb.gr
- Long memory stochastic volatility models
- Giovanni Petris, University of Arkansas, gpetris@comp.uark.edu
-
TUESDAY 30 MAY: TECHNICAL SESSIONS
- Track A:
DYNAMIC MODELS IN OFFICIAL STATISTICS
- (a session on EUROSTAT sponsored research)
- Organiser: Marco Ramoni, Open University, m.ramoni@open.ac.uk
- Chair: Marco Ramoni
- Structural analysis of the abortion time series reported in the ISTAT summaries
- Riccardo Bellazzi, University of Pavia, ric@aim.unipv.it
- Bayesian clustering by dynamics of European socio-economic indicators
- Paula Sebastiani, Open University, p.sebastiani@open.ac.uk
- Adversarial dynamic inference from Official Statistics
- Paul Snow, Consultant, New Hampshire, paulsnow@delphi.com
- Track B:
BAYESIAN COMPUTATION
- Organiser: Wolfgang Polasek, University of Basel, wolfgang@iso.iso.unibas.ch
- Chair: Wolfgang Polasek
- Exploring the use of hybrid Monte Carlo and related methods in Bayesian computation
- Jun Liu, Stanford University, jliu@stat.stanford.edu
- (with Linyu Chen and Steve Qin)
- Embedding Bayesian tools in commercial software
- John Geweke, University of Iowa, jgeweke@blue.weeg.uiowa.edu
- (with William McCausland)
- VIBES: A general variational inference engine for Bayesian networks
- John Winn, Microsoft Corp., jmw39@cam.ac.uk
- (with C Bishop and D Spiegelhalter)
- Track C:
BAYESIAN METHODS IN MULTIRESOLUTION/TIME-FREQUENCY SIGNAL ANALYSIS
- Organiser: Robert Nowak, Rice University, nowak@rice.edu
- Chair: Robert Nowak
- Multiscale Bayesian image processing using hidden Markov trees
- Richard Baraniuk, Rice University, richb@rice.edu
- Bayesian multiscale analysis via recursive partitions
- Eric Kolaczyk, Boston University, kolaczyk@math.bu.edu
- Bayesian models in general time/frequency representations of geophysical signals
- Brani Vidakovic, Duke University, brani@stat.duke.edu
- (with Gabriel Katul)
SESSIONS TUE2: 11:00am-12:30pm
- Track A:
BAYESIAN METHODS IN CONFIDENTIALITY AND DISCLOSURE LIMITATION
- Organiser: Udi Makov, Haifa University, makov@rstat.haifa.ac.il
- Chair: Jon Forster, University of Southampton, jjf@maths.soton.ac.uk
- Protecting confidentiality and preserving statistical information
- George Kokolakis, NTU Athens, kokolakis@math.ntua.gr
- (with Photis Nanopoulos)
- Bayesian multiple imputation to preserve confidentiality in public-use data sets
- Don Rubin, Harvard University, rubin@hustat.harvard.edu
- (with T. Raghu)
- Bayesian insights on disclosure limitation: Mask or impute?
- George Duncan, Carnegie Mellon University, gd17+@andrew.cmu.edu
- (with Sallie Keller-McNulty)
- Track B:
CURVES & SURFACES
- Organiser: Phil Brown, University of Kent, Philip.J.Brown@ukc.ac.uk
- Chair: Phil Brown
- Feature detection with wavelets in curve regression
- Marina Vannucci, Texas A&M University, mvannucci@stat.tamu.edu
- Multiple curve and surface fitting with correlated data
- Chris Holmes, Imperial College London, c.holmes@ic.ac.uk
- PCA-based dimension reduction for splines
- Angelika van der Linde, University of Edinburgh, avdl@maths.ed.ac.uk
- Track C:
MODEL SELECTION: THEORY
- Organiser: Luis Raul Pericchi, Simon Bolivar University, pericchi@cesma.usb.ve
- Chair: Luis Raul Pericchi
- Expected posterior priors for model selection
- Jose Miguel Perez, Simon Bolivar University, jperez@cesma.usb.ve
- Optimal predictive model selection: The median probability model
- Marilena Barbieri, University of Rome, marilena@pow2.sta.uniroma1.it
- Inference under partial information on observable random variables
- Elias Morena, University of Granada, emoreno@goliat.ugr.es
SESSIONS TUE3: 3:00pm-4:30pm
- Track A:
SURVEYS & ECONOMETRIC MODELS
- Organiser: José M. Bernardo, Universitat de València, jose.m.bernardo@uv.es
- Chair: Gabriella Salinetti, Università "La Sapienza" Roma, saline@pow2.sta.uniroma1.it
- Bayesian methods for complex surveys with unit nonresponse
- T.E. Raghunathan, University of Michigan, teraghu@umich.edu
- An econometric model of birth inputs and outputs
- Dale J. Poirier, University of California at Irvine, dpoirier@uci.edu
- (with Kai Li)
- Bayesian estimation in a U.S. government survey of income using respondent generated intervals
- S James Press, University of California at Riverside, jpress@ucrac1.ucr.edu
- (with K H Marquis)
- Track B:
BAYESIAN METHODS IN CLUSTER MODELLING
- Organiser: Andrew Lawson, University of Aberdeen, a.lawson@maths.abdn.ac.uk
- Chair: Chris Holmes, Imperial College London, c.holmes@ic.ac.uk
- Reversible jump MCMC analysis of spatial Poisson cluster processes
- John Castelloe, SAS, jocast@wnt.sas.com
- Bayesian partition modelling for disease clustering
- David Denison, Imperial College London, d.denison@ic.ac.uk
- Bayesian modelling of a general class of random object cluster forms
- Andrew Lawson, University of Aberdeen, a.lawson@maths.abdn.ac.uk
-
- Track C:
MONTE CARLO FILTERING
- Organiser: Dominic Lee, DSO National Laboratories, ldominic@dso.org.sg
- Chair: Dominic Lee
- Particle methods for filtering and smoothing in time-varying autoregressions
- Simon Godsill, Cambridge University, sjg@eng.cam.ac.uk
- (with Arnaud Doucet and Mike West)
- Asymptotic results for interacting particle methods with application to non-linear estimation
- Pierre Del Moral, Paul Sabatier University, delmoral@cict.fr
- Particle filters for noisy fading communication channels
- Elena Punskaya, University of Cambridge, op205@eng.cam.ac.uk
- (with W. Fitzgerald, C. Andrieu and A. Doucet)
SESSIONS TUE4: 5:00pm-6:30pm
- Track A:
UNCERTAINTY AND SENSITIVITY ANALYSIS
- (a session that includes EUROSTAT sponsored research)
- Organiser: Andrea Saltelli, The European Commission/Joint Research Centre, andrea.saltelli@jrc.it
- Chair: Brunero Liseo, Università "La Sapienza" Roma, brunero@pow2.sta.uniroma1.it
- Sensitivity analysis as a model assessment tool in time series analysis
- Christophe Planas, JRC ISIS, christophe.planas@jrc.it
- The role of quantitative uncertainty and sensitivity analysis in model corroboration
- Marian Scott, University of Glasgow, marian@stats.gla.ac.uk
(with Andrea Saltelli)
- Sensitivity issues in the Bayesian analysis of stochastic processes
- Fabrizio Ruggeri, CNR IAMI, fabrizio@iami.mi.cnr.it
- Track B:
TOPICS IN BAYESIAN BIOSTATISTICS
- Organiser: Joseph G Ibrahim, Harvard School of Public Health, ibrahim@jimmy.harvard.edu
- Chair: Ming-Hui Chen, Worcester Polytechnic Institute, mhchen@wpi.edu
- Modeling spatially misaligned area and point process data
- Bradley Carlin, University of Minnesota, brad@muskie.biostat.umn.edu
- A new Bayesian model for survival data with a surviving fraction
- Debajyoti Sinha, University of New Hampshire, sinha@purabi.unh.edu
- Use of historical controls to adjust for covariates in trend tests for binary data
- Joseph Ibrahim, Harvard School of Public Health, ibrahim@jimmy.harvard.edu
- Track C:
STOCHASTIC MODELS FOR SPATIAL AND TEMPORAL PROBLEMS
- Organiser: ISBA
- Chair: Siddhartha Chib, Washington University, chib@olin.wustl.edu
- Bayesian inference and stochastic differential equations
- Arthur P Dempster, Harvard University, dempster@hustat.harvard.edu
- (with Rostislav Protassov)
- Modeling spatial dependence via process convolutions
- David Higdon, Duke University, higdon@isds.duke.edu
- (with John Kern and Jenise Swall)
- Towards spatial-temporal models for cultural processes over archaeological landscapes
- Caitlin Buck, Cardiff University, buckce@cardiff.ac.uk
- (with G. Nicholls and M. Jones)
WEDNESDAY 31 MAY: TECHNICAL SESSIONS
- Track A:
MODELLING AND COMPUTATION IN SAMPLING AND SURVEY PROBLEMS
- Organiser: Sujit Ghosh, North Carolina State University, sghosh@stat.ncsu.edu
- Chair: Gauri Datta, University of Georgia, gauri@stat.uga.edu
- Small area estimation: A Bayesian overview
- Malay Ghosh, University of Florida, ghoshm@stat.ufl.edu
- MCMC methods for fitting multi-level models with complex level 1 variation
- William Browne, University of London, bwjsmsr@ioe.ac.uk
- (with David Draper)
- Existence of the MLE and propriety of posteriors for multinomial choice models with application
to the 1994 Portland Activity/Travel survey
- Dongchu Sun, University of Missouri-Columbia, dsun@stat.missouri.edu
- (with Paul L. Speckman and Jaeyong Lee)
- Track B:
BAYESIAN MODELLING IN MOLECULAR BIOLOGY WITH PUBLIC HEALTH IMPLICATIONS
- Organiser: Emmanuel Lazaridis, University of South Florida, lazarien@moffitt.usf.edu
- Chair: Emmanuel Lazaridis
- Introductory overview
- Emmanuel Lazaridis
- Robust Bayesian analysis for DNA microchips data
- Javier Cabrera, Rutgers University, cabrera5@yahoo.com
(D.Amaratunga and P.Ghazal and V.Yohai)
- Image restoration via deformable templates: Application to analysis of
protein expression data
- Chris Tsokos, University of Southern Florida, profcpt@math.usf.edu
(with Emmanuel Lazaridis and George Yanev)
- Data analysis and modelling of DNA microarrays in genetic expression profiling of breast cancer
- Mike West, Duke University, mw@stat.duke.edu
- (with Joe Nevins, Jeff Marks, Rainer Spang & Harry Zuzan)
- Track C:
INFORMATION THEORETIC METHODS AND BAYESIAN MODELING
- Organiser: Hamparsum Bozdogan, University of Tennessee, bozdogan@utk.edu
- Chair: Refik Soyer, The George Washington University, soyer@gwis2.circ.gwu.edu
- A unified approach to information-theoretic and Bayesian model selection criteria
- Hamparsum Bozdogan, University of Tennessee, bozdogan@utk.edu
- (with Maomi Ueno and Peter Bearse)
- Occam's Razor and the information geometric approach to Bayesian analysis
- Vijay Balasubramanian, Harvard University, vijayb@pauli.harvard.edu
- Information criteria for predictive inference with the weighted log-likelihood and the active learning
- Shimodaira Hidetoshi, The Institute of Statistical Mathematics Japan
- (with Kanamori Takafumi)
SESSIONS WED2: 11:00am-12:30pm
- Track A:
PUBLIC HEALTH STATISTICS: POLICY, PROFILING AND OUTCOMES
- Organiser: Mike West, Duke University, mw@stat.duke.edu
- Chair: Donna Pauler, Harvard University, donna@newton.mgh.harvard.edu
- Advantages of using the Bayesian approach in medical profiling
- Carl Morris, Harvard University, morris@hustat.harvard.edu
- Hospital quality studies in the US VA health care system: Models and policy assessment
- Viridiana Lourdes, Duke University, vl@stat.duke.edu
- (with James Burgess and Mike West)
- Bayesian models for health care and policy research: Why are they needed and how are they being used?
- Cindy Christiansen, Boston University and VA, cindy_christiansen@hphc.org
- Track B:
BAYESIAN METHODS IN AGRICULTURAL POLICY: GUIDING POLICY
- (Presentations on government-university collaborative research)
- Organiser: Pamela Abbitt, North Carolina State University, abbitt@stat.ncsu.edu
- Chair: Alicia Carriquiry, Iowa State University, alicia@iastate.edu
- A dynamic model for monitoring water chemistry variables over time
- Mark Kaiser, Iowa State University,
- Innovation and market creation
- Garth Holloway, International Livestock Research Institute, Addis Ababa, g.holloway@cgiar.org
- Statistical methods for distributional profiles in soil survey updates
- Pamela Abbitt, North Carolina State University, abbitt@stat.ncsu.edu
- (with Jay Breidt)
- Track C:
PRIORS, TESTING & OBJECTIVE BAYESIAN INFERENCE
- Organiser: Malay Ghosh, University of Florida, ghoshm@stat.ufl.edu
- Chair: Malay Ghosh
- Sharp and diffuse priors in Bayesian testing: Lindley's paradox 43 years later
- J.M. Bernardo, Universitat de València, jose.m.bernardo@uv.es
- Higher order asymptotics of Bayes and likelihood inference: a synthesis
- Gauri S. Datta, University of Georgia, gauri@stat.uga.edu
- Evidence and credibility: A full Bayesian significance test for a precise hypothesis
- Carlos Pereira, University of São Paulo, cab3p@aol.com
- (with Julio Stern)
THURSDAY 1 JUNE: TECHNICAL SESSIONS
- Track A:
CONFIDENTIALITY AND IDENTITY PROTECTION
- Organiser: George Kokolakis, NTU Athens, kokolakis@math.ntua.gr
- Chair: Steve Fienberg, Carnegie Mellon University, fienberg@stat.cmu.edu
- Uniqueness and disclosure limitation: Urn models and sample-based
simulation for inference on population uniques
- Udi Makov, Haifa University, makov@rstat.haifa.ac.il
- (with S. Fienberg)
- Towards a Bayesian perspective on statistical disclosure limitation
- Larry Cox, U.S. Env. Protection Agency, Cox.Larry@epamail.epa.gov
- Model based disclosure limitation for business microdata
- Julian Stander, University of Plymouth, julian@iac.rm.cnr.it
- (with Luisa Franconi)
- Track B:
BAYESIAN METHODS IN ENVIRONMENTAL EPIDEMIOLOGY AND RISK ASSESSMENT
- Organiser: David Draper, University of Bath, d.draper@maths.bath.ac.uk
- Chair: Daphne Kounali, University of Manchester, dkounali@man.ac.uk
- Modeling the effect of genetic factors on late-onset diseases in cohort studies
- Mark E. Glickman, Boston University, mg@math.bu.edu
- (with David Gagnon)
- The risk of cancer calculation from Bayesian hierarchical change-point models of longitudinal markers
- Donna Pauler, Harvard University, donna@newton.mgh.harvard.edu
- (with Steve Skates)
- Bayesian nonparametric methods for risk assessment in nuclear waste disposal
- David Draper, University of Bath, d.draper@maths.bath.ac.uk
- Track C:
NON/SEMI-PARAMETRIC REGRESSION AND TIME SERIES
- Organiser: Dongchu Sun, University of Missouri, dsun@stat.missouri.edu
- Chair: Dongchu Sun
- Variable selection and model averaging in high dimensional multinomial nonparametric regression
- Robert Kohn, University of New South Wales, r.kohn@unsw.edu.au
- (with Paul Yau)
- Multivariate nonparametric regression with conditional autoregressive models
- Paul L. Speckman, University of Missouri, speckman@stat.missouri.edu
- (with Donghu Sun)
- On inference for partially observed non-linear diffusion models using the Metropolis-Hastings algorithm
- Osnat Stramer, University of Iowa, stramer@stat.uiowa.edu
- (with Gareth Roberts)
SESSIONS THU2: 11:00am-12:30pm
- Track A:
NATIONAL DATA ISSUES: COMBINING INFORMATION IN SURVEYS
- Organiser: John Rolph, University of Southern California, jrolph@almaak.usc.edu
- Chair: John Rolph
- Bayesian modeling opportunities in social statistics using sample surveys and administrative records
- Michael Cohen, National Research Council, mcohen@nas.edu
- Addressing non-standard goals in combining information
- Thomas Louis, University of Minnesota, tom@biostat.umn.edu
- Borrowing strength without explicit data pooling
- Jerome Reiter, Williams College, Jerome.P.Reiter@williams.edu
- Track B:
BAYESIAN STATISTICS IN PUBLIC HEALTH AND POLICY
- Organiser: Constantine Frangakis, Johns Hopkins University, cfrangak@jhsph.edu
- Chair: Donald Rubin, Harvard University, rubin@stat.harvard.edu
- Comparing hospitals' performance: A Bayesian analysis of surgical outcomes for an official government inquiry
- Nicky Best, Imperial College, n.best@ic.ac.uk
- Bayesian modeling of noncompliance and censoring for estimation of causal effects
- Constantine Frangakis, Johns Hopkins University
- (with Martin Mcintosh)
- Hierarchical models to adjust for heterogeneous measurement error in age-related maculopathy data
- Alicia Carriquiry, Iowa State University, alicia@iastate.edu
- (with Mike Daniels)
- Track C:
MODEL SELECTION: METHODS AND APPLICATIONS
- Organiser: Jim Berger, Duke University, berger@stat.duke.edu
- Chair: Jim Berger
- Model selection for cepheid star oscillations
- William Jefferys, University of Texas, bill@clyde.as.utexas.edu
- Model selection in graphical models
- David Heckerman, Microsoft Corp., heckerma@microsoft.com
- Model selection for dynamic linear models
- Luis Raul Pericchi, Simon Bolivar University, pericchi@cesma.usb.ve
SESSIONS THU3: 3:00pm-4:30pm
- Track A:
BAYESIAN METHODS IN PUBLIC POLICY AND ECONOMICS
- Organiser: ISBA
- Chair: Jerome Reiter, Williams College, Jerome.P.Reiter@williams.edu
- Influencing economic policy -- Identifying the swing voter
- Jennifer Hill, Harvard University, hill@hustat.harvard.edu
- Bayesian methods for monitoring a comprehensive nuclear test ban treaty
- Bob Shumway, University of California at Davis, rhshumway@ucdavis.edu
- Bayesian modelling of economies and data requirements
- Arnold Zellner, University of Chicago, arnold.zellner@gsbpop.uchicago.edu
- (with Bin Chen)
- Track B:
BAYESIAN METHODS IN PSYCHOLOGICAL RESEARCH
- Organiser: Henry Rouanet, Universite Rene Descartes, rouanet@math-info.univ-paris5.fr
- Chair: Hal Stern, Iowa State University, hstern@iastate.edu
- Twenty five years of Bayesian inference in psychology
- H Rouanet, Universite Rene Descartes, rouanet@math-info.univ-paris5.fr
- Bayesian analysis of contingency tables: Applications to developmental psychology
- J M Bernard, Universite Paris 8, berj@univ-paris8.fr
- Bayesian predictive procedures for designing and planning experiments
- Bruno Lecoutre, Universite de Rouen, Bruno.Lecoutre@univ-rouen.fr
- Track C:
PERFECT SIMULATION FOR BAYESIAN COMPUTATION
- Organiser: Xiao-Li Meng, The University of Chicago, meng@galton.uchicago.edu
- Chair: Radu Craiu, The University of Chicago, craiu@galton.uchicago.edu
- Perfect sampling of Bayesian mixtures
- Duncan Murdoch, University of Western Ontario, murdoch@fisher.stats.uwo.ca
- (with Xiao-Li Meng)
- Perfect MCMC tempering for sample-based Bayesian inference
- Geoff Nicholls, Auckland University, nicholls@math.auckland.ac.nz
- (with Jesper Moeller)
- Parallel antithetic coupling for perfect Bayesian simulation
- Xiao-Li Meng, The University of Chicago, meng@galton.uchicago.edu
- (with Radu Craiu)
SESSIONS THU4: 5:00pm-6:30pm
- Track A: OFFICIAL STATISTICS AND PUBLIC POLICY ISSUES
- (including Eurostat projects)
- Organiser: Petros Dellaportes, Athens University of Economics and Business, petros@aueb.gr
- Chair: Petros Dellaportes
- Estimation of the impact of public health policies, in application to
the treatment of biliary atresia
- Jean-Louis Golmard, INSERM, jlg@biomath.jussieu.fr
- (with C Chardot, M Carton, N Spire-Bendelec, C Le Pommelet and B Auvert)
- Small area estimation methods to evaluate Italian Census undercoverage at regional and sub-regional level
- TBA
- TBA
- TBA
- TBA
- Track B:
HEALTH POLICY ISSUES IN AIDS PREVENTION AND TREATMENT
- Organiser: Wesley Johnson, University of California-Davis, johnson@wald.ucdavis.edu
- Chair: Carl Morris, Harvard University, morris@hustat.harvard.edu
- Bayesian approaches to evaluating surrogate markers in AIDS
- Kate Cowles, University of Iowa, kcowles@stat.uiowa.edu
- Inferences on health care indicators for the treatment of HIV/AIDS
- David Walshaw, University of Newcastle, David.Walshaw@ncl.ac.uk
- (with Karl Heiner)
- Medical screening and protocols for cost-effective HIV detection
- Wesley Johnson, University of California-Davis, johnson@wald.ucdavis.edu
- Track C:
PRIOR DISTRIBUTIONS FOR MODEL SELECTION AND MODEL UNCERTAINTY
- Organiser: Merlise Clyde, Duke University, merlise@stat.duke.edu
- Chair: M.J. Bayarri, University of Valencia, susie.bayarri@uv.es
- Compatible prior distributions for model comparison
- Philip Dawid, University College London, dawid@stats.ucl.ac.uk
- Empirical Bayes' priors distributions for model uncertainty
- Merlise Clyde, Duke University, merlise@stat.duke.edu
- Dilution priors for model uncertainty
- Ed George, University of Texas at Austin, Ed.George@bus.utexas.edu
CLOSING PLENARY SESSION: 6:40pm-7:15pm
- Chair: George Kokolakis, NTU Athens, kokolakis@math.ntua.gr
- Presentation of Eurostat's R&D activities in Official Statistics and discussion on research opportunities
- Photis Nanopoulos, Director of EUROSTAT and ISBA 2000 Co-Chair