Bayesian Model Selection Papers

Review papers

• Bayesian model averaging.
  Jennifer A. Hoeting, David Madigan, Adrian E. Raftery and Chris T. Volinsky.
  Technical Report no. 334. May 1998. A revised version is to appear in Statistical Science

• Bayes factors and model uncertainty.
  Robert E. Kass and Adrian E. Raftery.
  Technical Report no. 254, March 1993. A revised version appeared in the Journal of the American Statistical Association, 90(1995):773-795.

• Bayesian model selection in social research (with Discussion).
  Adrian E. Raftery.
  University of Washington Demography Center Working Paper no. 94-12, September 1994. A revised version appeared in Sociological Methodology 1995, pp. 111-196.

Research papers

• Bayesian Information Criterion for Censored Survival Models.
  Chris T. Volinsky and Adrian E. Raftery.
  Technical Report no. 349. February 1999. A revised version is to appear in Biometrics.

• Bayes factors and BIC: Comment on Weakliem.
  Adrian E. Raftery.
  Technical Report no. 347. January 1999. A later version appeared in Sociological Methods and Research 27(1999):411-427.

• Variable Selection and Bayesian Model Averaging in Case-Control Studies.
  Valerie Viallefont, Adrian E. Raftery and Sylvia Richardson.
  Technical Report no. 343. November 1998.

• How many clusters? Which clustering method? - Answers via Model-Based Cluster Analysis.
  Chris Fraley and Adrian E. Raftery.
  Technical Report no. 329. February 1998.

• Linear Flaw Detection in Woven Textiles using Model-Based Clustering.
  Jonathan G. Campbell, Chris Fraley, Fionn Murtagh and Adrian E. Raftery.
  Technical Report no. 314. July 1996.

• Bayesian model averaging in proportional hazard models: assessing stroke risk.
  Chris T. Volinsky, David Madigan, Adrian E. Raftery and Richard A. Kronmal.
  Technical Report no. 302, January 1996. A revised version appeared in Applied Statistics.

• Comparing Explanations of Fertility Decline Using Event History Models and Unobserved Heterogeneity.
  Steven M. Lewis and Adrian E. Raftery.
  Technical Report no. 298, November 1995. A revised version is to appear in Sociological Methods and Research.

• A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability.
  Sonia Petrone and Adrian E. Raftery.
  Technical Report no. 297, November 1995.

• Detecting Features in Spatial Point Processes with Clutter via Model-Based Clustering.
  Abhijit Dasgupta and Adrian Raftery.
  Technical Report no. 295, October 1995.

• Computing Bayes Factors by Combining Simulation and Asymptotic Approximations.
  Thomas J. DiCiccio, Robert E. Kass, Adrian Raftery and Larry Wasserman.
  Technical Report no. 630, Department of Statistics, Carnegie-Mellon University. July, 1995. A revised version appeared in Journal of the American Statistical Association.

• A Method for Simultaneous Variable and Transformation Selection in Linear Regression.
  Jennifer Hoeting, Adrian E. Raftery and David Madigan.
  Colorado State University Statistics Department Technical Report.
  June 20, 1995.

• Inference in Model-Based Cluster Analysis.
  Halima Bensmail, Gilles Celeux, Adrian E. Raftery and Christian P. Robert.
  Technical Report no. 285, March 1995. A revised version appeared in Statistics and Computing.

• A Method for Simultaneous Variable Selection and Outlier Identification in Linear Regression.
  Jennifer Hoeting, Adrian E. Raftery and David Madigan.
  Colorado State University Statistics Department Technical Report.
  February 1995. A revised version appeared in Computational Statistics and Data Analysis.

• Estimating Bayes Factors via Posterior Simulation with the Laplace-Metropolis Estimator.
  Steven M. Lewis and Adrian E. Raftery.
  Technical Report no. 281, November 1994. A revised version appeared in Journal of the American Statistical Association.

• Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance (with Discussion).
  Adrian E. Raftery, David Madigan and Chris T. Volinsky.
  June 1994, revised August 1994. A revised version appeared in Bayesian Statistics 5, pp. 323-349.

• Accounting for Model Uncertainty in Linear Regression.
  Jennifer A. Hoeting.
  Unpublished Ph.D. dissertation, Department of Statistics, University of Washington, Seattle.
  July 1994.

• Hypothesis Testing and Model Selection Via Posterior Simulation.
  Adrian Raftery.
  July 1994. A revised version appeared in Markov Chain Monte Carlo in Practice (edited by W.R. Gilks et al.), Chapman and Hall, 1996.

• Enhancing the Predictive Performance of Bayesian Graphical Models.
  David Madigan, Jonathan Gavrin, and Adrian E. Raftery.
  Technical Report no. 270, February 1994.

• Covariate selection in hierarchical models of hospital admission counts: A Bayes factor approach.
  Susan L. Rosenkranz and Adrian E. Raftery.
  Technical Report no. 268, April 1994.

• Strategies for Graphical Model Selection.
  David Madigan, Adrian E. Raftery, Jeremy C. York, Jeffrey M. Bradshaw, and Russell G. Almond. 1994.

• Model Selection for Generalized Linear Models via GLIB, with Application to Epidemology.
  Adrian Raftery and Sylvia Richardson.
  December 1993.

• Model Selection and Accounting for Model Uncertainty in Linear Regression Models.
  Adrian Raftery, David Madigan, and Jennifer Hoeting.
  Technical Report no. 262, November 1993. A revised version appeared in Journal of the American Statistical Association, 92(1997):179-191.

• Approximate Bayes Factors and Accounting for Model Uncertainty in Generalized Linear Models.
  Adrian E. Raftery.
  Technical Report no. 255, August 1993. A revised version appeared in Biometrika, 83(1996):251-266.

• Change Point and Change Curve Modeling in Stochastic Processes and Spatial Statistics.
  Adrian E. Raftery.
  Technical Report no. 253, March 1993. A revised version appeared in Journal of Applied Statistical Science, 1(1994):403-423.

• Model Selection and Accounting for Model Uncertainty in Graphical Models using Occam's Window.
  David Madigan and Adrian E. Raftery.
  Technical Report no. 213, July 1991. A revised version appeared in Journal of the American Statistical Association, 89(1994):1335-1346.

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