Coherence, Bayes's theorem and posterior distributions
type: Item
instance of: scholarly article
title: Coherence, Bayes's theorem and posterior distributions
zbMATH Open document ID: 1057.60004
author: Rosangela H. Loschi
author: Sergio Wechsler
published in: Brazilian Journal of Probability and Statistics
publication date: 2004-10-05T00:00:00Z
review text: First, the authors discuss in detail the construction process of subjective probability proposed by de Finetti (mostly based on Bayes' formula). Second, they analyze some aspects of temporal coherence and point out some differences between conditional probabilities via Bayes' formula and true posterior distributions that is, temporally updated probabilities via some updating procedure. Interesting numerical examples are given. The references provide a valuable source of information on the topic.
reviewed by: Roman Frič
Mathematics Subject Classification ID: 60A05
Mathematics Subject Classification ID: 62A01
Mathematics Subject Classification ID: 03B48
zbMATH DE Number: 2106361
zbMATH Keywords: Bayes formula
zbMATH Keywords: conditional probability
zbMATH Keywords: probability updating rules
zbMATH Keywords: temporal coherence
zbMATH Keywords: uncertainty
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 2106361