Robust Bayesian analysis /

Robust Bayesian analysis /

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This edited volume will present an overview of robust Bayesian methods and their applications. Chapters will explore both foundational and computational aspects together with applications. Chapters concerning foundations will describe decision theoretical axiomatisations leading to the robust Bayesi...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ríos Insua, David, 1964-, Ruggeri, Fabrizio
Format: eBook
Language:English
Published: New York : Springer, [2000]
Series:Lecture notes in statistics (Springer-Verlag) ; v. 152.
Subjects:
Bayesian statistical decision theory.
décision bayesienne.
maximum vraisemblance.
méthode robuste.
analyse bayésienne.
Statistique bayésienne.
Methode van Bayes.
Statistische methoden.
Robuustheid.
Bayes-Verfahren.
Robuste Statistik.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This edited volume will present an overview of robust Bayesian methods and their applications. Chapters will explore both foundational and computational aspects together with applications. Chapters concerning foundations will describe decision theoretical axiomatisations leading to the robust Bayesian paradigm and motivate reasons for which robust analyses are practically unavoidable within Bayesian analysis.
Item Description:Electronic resource.
Physical Description:1 online resource (xiii, 422 pages) : illustrations.
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:Includes bibliographical references (pages [401]-422).
ISBN:9781461213062 (electronic bk.)
1461213061 (electronic bk.)