• Liang, F. and Paulo, R. and Molina, G. and Clyde, M. and Berger, J.O. Mixtures of g-priors for Bayesian Variable Selection. ISDS Discussion Paper  05-12 (2005).

• Merlise Clyde and E. I. George. Model Uncertainty Statistical Science 19 (2004): 81--94. [pdf]

• Clyde, M. and Lee, H.K. 2001. Bagging and the Bayesian Bootstrap. In Artificial Intelligence and Statistics 2001 , T. Richardson and T Jaakkola eds. pp 169--174.

• Clyde, M., Guttorp, P., Sullivan, E. 2000. Effects of Ambient Fine and Coarse Particles on Mortality in Phoenix, Arizona ISDS Discussion Paper 00-05
  Full paper: (postscript) or (PDF)

• Clyde, M. and Edward I. George. 2000. Flexible Empirical Bayes Estimation for Wavelets Journal of the Royal Statistical Society, Series B, 62, 681-698.
  Full paper: (postscript) or (PDF) (previously listed as ISDS Discussion Paper 98-21)

• Clyde, M. 2000. Model Uncertainty and Health Effect Studies for Particulate Matter Environmetrics 11, 745-763.
  Full paper: postscript or pdf (previously listed as ISDS Discussion Paper 99-28)

• E. Conrad Lamon III and Merlise A. Clyde 2000. Accounting for Model Uncertainty in Prediction of Chlorophyll a in Lake Okeechobee. Journal of Agricultural, Biological, and Environmental Statistics 5, 297-322
  (Full Paper: PDF or postscript, abstract) previously listed as ISDS Discussion paper 98-42.

• Clyde, M. (1999). Discussion of ``Bayesian Model Averaging: A Tutorial'' by Hoeting, J.A., Madigan, D., Raftery, A.E., and Volinsky, C.T. Statistical Science, 14, 401-404. PDF file or Postscript file. Note: printed version has an error in the equation on page 402, column 1 in the MH ratio

• Clyde, M. 1999. Bayesian Model Averaging and Model Search Strategies (with discussion). In Bayesian Statistics 6. J.M. Bernardo, A.P. Dawid, J.O. Berger, and A.F.M. Smith Eds. Oxford University Press, pp 157-185.
  Complete paper with discussion: postscript or pdf (Previously listed as ISDS Discussion Paper 98-20)

• Clyde, M. and Edward I. George. 1999. Empirical Bayes Estimation in Wavelet Nonparametric Regression. In Bayesian Inference in Wavelet-Based Models eds P. Muller and B. Vidakovic. Springer-Verlag. pages 309-322.
  (Paper available in PDF or postscript, abstract) Peviously available as ISDS Discussion paper 99-06.

• Clyde, M. and Parmigiani, G. (1998). Protein construct storage: Bayesian variable selection and prediction with mixtures . Journal of Biopharmaceutical Statistics. 8, 431-443.

• Clyde, M. and DeSimone-Sasinowska, H. 1997. Accounting for Model Uncertainty in Poisson Regression Models: Does Particulate Matter Particularly Matter? ISDS Discussion Paper 97-06.

• Clyde, M. 1996. Strategies for Model Mixing in Generalized Linear Models. ISDS Discussion Paper 96-28. (Presented at AISTAT Jan 1997)

• Clyde, M., DeSimone, H. and Parmigiani,G. (1996). Prediction via Orthogonalized Model Mixing Journal of the American Statistical Association 91, 1197-1208.

• Clyde, M., Parmigiani, G., Vidakovic, B. (1998). Multiple Shrinkage and Subset Selection in Wavelets Biometrika 85, 391-402.

• Clyde, M. and Parmigiani, G. (1996). Orthogonalizations and Prior Distributions for Orthogonalized Model Mixing In Modelling and Prediction: Honoring Seymour Geisser edited by Jack C. Lee, Wesley O. Johnson and Arnold Zellner, Springer-Verlag. pp 206-227.

• MacEachern, S.N., Clyde, M., and Liu, J.S. (1999). "Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation" Canadian Journal of Statistics, 27, 251-267. (previously ISDS Discussion Paper 96-09)

Other papers related to Bayesian Model Averaging at the BMA web page.