POSTERIOR JOINT AND MARGINAL MODES
成果类型：
Article
署名作者：
OHAGAN, A
署名单位：
University of Dundee
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1976
页码：
329333
关键词：
摘要：
Posterior joint modes are often used as point estimators in Bayesian applications to avoid laborious numerical integration of complicated posterior densities. Methods facilitating the straightforward computation of posterior marginal modes in a wide variety of models are presented, and whether marginal modes provide better approximations than joint modes to the posterior means is discussed.