Ontology highlight
ABSTRACT:
SUBMITTER: Wang YB
PROVIDER: S-EPMC6602590 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Wang Yu-Bo YB Chen Ming-Hui MH Kuo Lynn L Lewis Paul O PO
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 20190326 2
The computation of marginal posterior density in Bayesian analysis is essential in that it can provide complete information about parameters of interest. Furthermore, the marginal posterior density can be used for computing Bayes factors, posterior model probabilities, and diagnostic measures. The conditional marginal density estimator (CMDE) is theoretically the best for marginal density estimation but requires the closed-form expression of the conditional posterior density, which is often not ...[more]