A Noninformative Prior on a Space of Distribution Functions

A Noninformative Prior on a Space of Distribution Functions

In a given problem, the Bayesian statistical paradigm requires the specification of a prior distribution that quantifies relevant information about the unknowns of main interest external to the data. In cases where little such information is available, the problem under study may possess an invarian...

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Bibliographic Details
Main Authors: Alexander Terenin, David Draper
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Entropy
Subjects:
Bayesian nonparametrics
Dirichlet process
functional equations
Hyers–Ulam–Rassias stability
improper prior
invariance
optimal Bayesian analysis
transformation group
Online Access:https://www.mdpi.com/1099-4300/19/8/391

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https://www.mdpi.com/1099-4300/19/8/391

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