Description

Book Synopsis
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.

Table of Contents
Volume I: information theory and prior distributions; robustness and outliers. Volume II: hierarchical, multivariate and non-parametric models; asymptotics; computation via Monte Carlo methods; Bayesian econometrics.

BAYESIAN INFERENCE

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    A Hardback by Nicholas G. Polson, George C. Tiao

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      View other formats and editions of BAYESIAN INFERENCE by Nicholas G. Polson

      Publisher: Edward Elgar Publishing Ltd
      Publication Date: 01/01/1995
      ISBN13: 9781852786687, 978-1852786687
      ISBN10: 185278668X

      Description

      Book Synopsis
      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.

      Table of Contents
      Volume I: information theory and prior distributions; robustness and outliers. Volume II: hierarchical, multivariate and non-parametric models; asymptotics; computation via Monte Carlo methods; Bayesian econometrics.

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