Post hoc Bayesian model selection

Author:

Friston Karl,Penny Will

Funder

Wellcome Trust

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference16 articles.

1. The variational Bayesian EM algorithm for incomplete Data: with application to scoring graphical model structures;Beal,2003

2. Beal M.J. (1998) Variational algorithms for approximate Bayesian inference, PhD Thesis:http://www.cse.buffalo.edu/faculty/mbeal/thesis/- p58.

3. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. Roy. Stat. Soc. B,1977

4. The weighted likelihood ratio, linear hypotheses on normal location parameters;Dickey;Ann. Stat.,1971

5. Stein's estimation rule and its competitors—an empirical Bayes approach;Efron;J. Am. Stats. Assoc.,1973

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