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On Bayesian calculations for mixture likelihoods and priors by Robert E. Weiss; Meehyung Cho; Michael Yanuzzi is a Mathematics article available to read on EtoBox.

What is On Bayesian calculations for mixture likelihoods and priors about?

We present methodology for calculating Bayes factors between models as well as posterior probabilities of the models when the indicator variables of the models are integrated out of the posterior before Markov chain Monte Carlo (MCMC) computations. Standard methodology would include the indicator functions as part of the MCMC computations. We demonstrate that our methodology can give substantially greater accuracy than the traditional approach. We illustrate the methodology using the model selection prior of George and McCulloch applied to logistic regression and to a mixture model for observations in a hierarchical random e ects model.

Who reads On Bayesian calculations for mixture likelihoods and priors?

Author

Robert E. Weiss; Meehyung Cho; Michael Yanuzzi

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)

Published

1999

Language

EN

Field

Mathematics (Physical Sciences)