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BAYESIAN INFERENCE

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BAYESIAN INFERENCE 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.

About This Edition

ISBN: 9781852786687
Publication date: 1st January 1995
Author: Nicholas G. Polson
Publisher: Edward Elgar Publishing Ltd
Format: Hardback
Pagination: 800 pages
Series: The International Library of Critical Writings in Econometrics series
Genres: Econometrics and economic statistics