Marginal likelihood estimation via power posteriors
Journal of the Royal Statistical Society Series B …, 2008 - academic.oup.com
Model choice plays an increasingly important role in statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
[PDF][PDF] Marginal likelihood estimation via power posteriors
N Friel, AN Pettitt - stat.duke.edu
Model choice plays an increasingly important role in Statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. This …
a crucial goal is to compute the marginal likelihood of the data for a given model. This …
Marginal Likelihood Estimation via Power Posteriors
N Friel, AN Pettitt - Journal of the Royal Statistical Society. Series B …, 2008 - JSTOR
Model choice plays an increasingly important role in statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
[PDF][PDF] Marginal likelihood estimation via power posteriors
N Friel, AN Pettitt - stat.duke.edu
Model choice plays an increasingly important role in Statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. This …
a crucial goal is to compute the marginal likelihood of the data for a given model. This …
[引用][C] Marginal likelihood estimation via power posteriors
N FRIEL, AN PETTITT - Journal of the Royal Statistical Society …, 2008 - pascal-francis.inist.fr
Marginal likelihood estimation via power posteriors CNRS Inist Pascal-Francis CNRS
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
Marginal likelihood estimation via power posteriors
N Friel, AN Pettitt - Journal of the Royal Statistical Society …, 2008 - Wiley Online Library
Model choice plays an increasingly important role in statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
Marginal likelihood estimation via power posteriors
N Friel, AN Pettitt - Journal of the Royal Statistical Society Series B, 2008 - ideas.repec.org
Model choice plays an increasingly important role in statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
Marginal likelihood estimation via power posteriors
N Friel, AN Pettitt - Journal of the Royal Statistical Society …, 2008 - econpapers.repec.org
Model choice plays an increasingly important role in statistics. From a Bayesian perspective
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
a crucial goal is to compute the marginal likelihood of the data for a given model. However …
Marginal likelihood estimation via power posteriors.
N Friel, AN Pettitt - Journal of the Royal Statistical Society …, 2008 - search.ebscohost.com
Abstract Model choice plays an increasingly important role in statistics. From a Bayesian
perspective a crucial goal is to compute the marginal likelihood of the data for a given …
perspective a crucial goal is to compute the marginal likelihood of the data for a given …
