title: A posterior tale.
abstract: A vignette is presented that naively suggests that the posterior distribution of a parameter may not always contain everything that is needed for inference about that parameter. The resolution of this apparent paradox is discussed as well as its relation to real-life problems involving data monitoring of clinical trials.
authors.affiliation: Biometric Research Branch, EPN-8129, National Cancer Institute, Bethesda, MD 20892-7434, USA. korne@ctep.nci.nih.gov
authors.forename: Edward L
authors.initials: EL
authors.lastname: Korn
authors.forename: Boris
authors.initials: B
authors.lastname: Freidlin
mesh_terms: D001499:Bayes Theorem; D015233:Models, Statistical; D016008:Statistical Distributions