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9780387988665: Robust Bayesian Analysis (Lecture Notes in Statistics)

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ISBN 10 : 0387988661 ISBN 13 : 9780387988665

Editeur : Springer, 2000

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This book surveys recent developments in one of the most active areas of statistics.

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�diteur: Springer
Date d'�dition: 2000
Langue: anglais
ISBN 10: 0387988661
ISBN 13: 9780387988665
Reliure: Broch�
Nombre de pages: 440
�diteur: Insua David Rios
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Robust Bayesian Analysis (Lecture Notes in Statistics)

Fabrizio Ruggeri et David Rios Insua

Edit� par Springer, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Softcover. Etat : Tr�s bon. Ancien livre de biblioth�que. Salissures sur la tranche. Edition 2000. Ammareal reverse jusqu'� 15% du prix net de cet article � des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Stains on the edge. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations. N� de r�f. du vendeur E-812-904

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Robust Bayesian Analysis (Lecture Notes in Statistics, 152)

Edit� par Springer, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Robust Bayesian Analysis

Fabrizio Ruggeri

Edit� par Springer New York Sep 2000, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness holds and no further analysis and refinement would be required. Robust Bayesian analysis has been widely accepted by Bayesian statisticians; for a while it was even a main research topic in the field. However, to a great extent, their impact is yet to be seen in applied settings. This volume, therefore, presents an overview of the current state of robust Bayesian methods and their applications and identifies topics of further in terest in the area. The papers in the volume are divided into nine parts covering the main aspects of the field. The first one provides an overview of Bayesian robustness at a non-technical level. The paper in Part II con cerns foundational aspects and describes decision-theoretical axiomatisa tions leading to the robust Bayesian paradigm, motivating reasons for which robust analysis is practically unavoidable within Bayesian analysis. 440 pp. Englisch. N� de r�f. du vendeur 9780387988665

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Robust Bayesian Analysis

Rios Insua, David|Ruggeri, Fabrizio

Edit� par Springer New York, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior,. N� de r�f. du vendeur 5913541

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Robust Bayesian Analysis

Edit� par Springer, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Etat : New. pp. 440. N� de r�f. du vendeur 26468307

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Robust Bayesian Analysis

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ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Etat : New. Print on Demand pp. 440 Illus. N� de r�f. du vendeur 7379596

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Robust Bayesian Analysis

Ruggeri Fabrizio Rios Insua David

Edit� par Springer, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Robust Bayesian Analysis

David Rios Insua (u. a.)

Edit� par Springer, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Robust Bayesian Analysis

Fabrizio Ruggeri

Edit� par Springer New York, Springer US Sep 2000, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness holds and no further analysis and refinement would be required. Robust Bayesian analysis has been widely accepted by Bayesian statisticians; for a while it was even a main research topic in the field. However, to a great extent, their impact is yet to be seen in applied settings. This volume, therefore, presents an overview of the current state of robust Bayesian methods and their applications and identifies topics of further in terest in the area. The papers in the volume are divided into nine parts covering the main aspects of the field. The first one provides an overview of Bayesian robustness at a non-technical level. The paper in Part II con cerns foundational aspects and describes decision-theoretical axiomatisa tions leading to the robust Bayesian paradigm, motivating reasons for which robust analysis is practically unavoidable within Bayesian analysis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch. N� de r�f. du vendeur 9780387988665

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Robust Bayesian Analysis

Fabrizio Ruggeri

Edit� par Springer New York, Springer US, 2000

ISBN 10 : 0387988661 ISBN 13 : 9780387988665

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness holds and no further analysis and refinement would be required. Robust Bayesian analysis has been widely accepted by Bayesian statisticians; for a while it was even a main research topic in the field. However, to a great extent, their impact is yet to be seen in applied settings. This volume, therefore, presents an overview of the current state of robust Bayesian methods and their applications and identifies topics of further in terest in the area. The papers in the volume are divided into nine parts covering the main aspects of the field. The first one provides an overview of Bayesian robustness at a non-technical level. The paper in Part II con cerns foundational aspects and describes decision-theoretical axiomatisa tions leading to the robust Bayesian paradigm, motivating reasons for which robust analysis is practically unavoidable within Bayesian analysis. N� de r�f. du vendeur 9780387988665

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