Learn-merge invariance of priors: A characterization of the Dirichlet distributions and processes
type: Item
instance of: scholarly article
title: Learn-merge invariance of priors: A characterization of the Dirichlet distributions and processes
zbMATH Open document ID: 0585.62003
DOI: 10.1016/0047-259X(86)90060-6
author: B. George
published in: Journal of Multivariate Analysis
publication date: 1986-01-01T00:00:00Z
Mathematics Subject Classification ID: 62A01
Mathematics Subject Classification ID: 62G99
Mathematics Subject Classification ID: 03A05
Mathematics Subject Classification ID: 03B99
zbMATH DE Number: 3938218
zbMATH Keywords: principle of natural conjugate priors
zbMATH Keywords: symmetric measures
zbMATH Keywords: inductive learning
zbMATH Keywords: Learn-merge invariance
zbMATH Keywords: prior distributions
zbMATH Keywords: W. E. Johnson
zbMATH Keywords: R. Carnap
zbMATH Keywords: Bayesian learning model
zbMATH Keywords: Dirichlet distributions and processes
MaRDI profile type: Publication
cites work: Q5551126
cites work: A Bayesian analysis of some nonparametric problems
cites work: Q5555372
cites work: Q5544757
cites work: Symmetric Measures on Cartesian Products
cites work: Die Problematik apriorischer Wahrscheinlichkeiten im System der induktiven Logik von Rudolf Carnap
cites work: I.—PROBABILITY: THE DEDUCTIVE AND INDUCTIVE PROBLEMS
cites work: Q4051454
cites work: Q5680088
cites work: Q5561562
cites work: W. E. Johnson's ''sufficientness'' postulate
description: scientific article; zbMATH DE number 3938218