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|a Robust Bayesian analysis /
|c David Ríos Insua, Fabrizio Ruggeri (editors).
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|a New York :
|b Springer,
|c [2000]
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|a 1 online resource (xiii, 422 pages) :
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|a Lecture notes in statistics ;
|v 152
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|a Includes bibliographical references (pages [401]-422).
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538 |
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|a 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.
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|a Introduction -- Foundations -- Global Robustness -- Local Robustness -- Likelihood Robustness -- Calibration -- Comparison with Other Statistical Methods -- Algorithms -- Case Studies.
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|a 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.
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|a Description based on print version record.
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|a Electronic resource.
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|a Bayesian statistical decision theory.
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|a décision bayesienne.
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|a maximum vraisemblance.
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|a méthode robuste.
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|a analyse bayésienne.
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|a Statistique bayésienne.
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|a Bayesian statistical decision theory.
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|a Methode van Bayes.
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|a Robuustheid.
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|a Statistique bayésienne.
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|a Bayes-Verfahren.
|2 swd
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|a Robuste Statistik.
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|a Electronic books.
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|a Ríos Insua, David,
|d 1964-
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|a Ruggeri, Fabrizio.
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|a SpringerLink (Online service)
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|t Robust Bayesian analysis.
|d New York : Springer, ©2000
|w (DLC) 00041912
|w (OCoLC)44133079
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|a Lecture notes in statistics (Springer-Verlag) ;
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