This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory and computational theory. It is organized into seven sections: foundations, information theory and prior distributions; robustness and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian econometrics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Edited by Nicholas G. Polson, Assistant Professor of Statistics and George C. Tiao, W. Allen Wallis Professor of Statistics, University of Chicago, US
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : gut. 1995. Bayesian Inference (2 vols.cpl./ 2 Bände KOMPLETT) International Library of Critical Writings in Econometrics Vol. 7 In englischer Sprache. pages. N° de réf. du vendeur BN426484
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Hardback. Etat : New. This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory and computational theory. It is organized into seven sections: foundations, information theory and prior distributions; robustness and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian econometrics. N° de réf. du vendeur LU-9781852786687
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Hardcover. Etat : new. Hardcover. This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory and computational theory. It is organized into seven sections: foundations, information theory and prior distributions; robustness and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian econometrics. This is a two-volume set of a collection of 30 papers presenting ideas which have now become standard in the field of Bayesian Inference. Topics covered include the central field of statistical inference, applications in areas of probability theory, information theory, and computational theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781852786687
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