Robust Bayesian analysis /

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:
Online Access:Connect to the full text of this electronic book

MARC

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245 0 0 |a Robust Bayesian analysis /  |c David Ríos Insua, Fabrizio Ruggeri (editors). 
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490 1 |a Lecture notes in statistics ;  |v 152 
504 |a Includes bibliographical references (pages [401]-422). 
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505 0 |a Introduction -- Foundations -- Global Robustness -- Local Robustness -- Likelihood Robustness -- Calibration -- Comparison with Other Statistical Methods -- Algorithms -- Case Studies. 
520 |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. 
588 |a Description based on print version record. 
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650 0 |a Bayesian statistical decision theory. 
650 4 |a décision bayesienne. 
650 4 |a maximum vraisemblance. 
650 4 |a méthode robuste. 
650 4 |a analyse bayésienne. 
650 6 |a Statistique bayésienne. 
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650 1 7 |a Statistische methoden.  |2 gtt 
650 1 7 |a Robuustheid.  |2 gtt 
650 7 |a Statistique bayésienne.  |2 ram 
650 0 7 |a Bayes-Verfahren.  |2 swd 
650 0 7 |a Robuste Statistik.  |2 swd 
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