论文信息 - A Decision Theoretic Approach to Model Averaging

A Decision Theoretic Approach to Model Averaging

A topic which is receiving much current attention is the problem of Bayesian model averaging. This paper introduces a decision theoretic approach to the selection of the mixing density in the exchangeable data case. This effectively chooses an optimal averaging of the models according to some well-defined criterion.

[1] B. Lindsay. The Geometry of Mixture Likelihoods: A General Theory , 1983 .

[2] D. Madigan,et al. Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window , 1994 .

[3] Frank Proschan,et al. Theoretical Explanation of Observed Decreasing Failure Rate , 2000, Technometrics.

[4] Stephen G. Walker,et al. A Bayesian predictive approach to model selection , 2001 .

[5] T. Ferguson. A Bayesian Analysis of Some Nonparametric Problems , 1973 .

[6] A. Mallet. A maximum likelihood estimation method for random coefficient regression models , 1986 .