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Edward Elgar Publishing Edward Elgar Bayesian Inference - Two Volume Classic Papers Set

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Description

This two volume set from Edward Elgar Publishing provides a comprehensive collection of 30 classic papers that established the foundations of modern Bayesian inference. Part of the International Library of Critical Writings in Econometrics series, this collection covers essential topics ranging from statistical inference to applications in probability, information, utility, and computational theory. The work is systematically organized into seven distinct sections to aid study and research. Readers can explore foundations, information theory, and prior distributions, as well as robustness, outliers, and hierarchical or non-parametric models. The set also includes deep dives into asymptotics, Monte Carlo methods, and Bayesian econometrics. This collection serves as a vital resource for anyone studying the development of standard ideas in the field of econometrics and statistical theory.

Key Features

This two volume set contains 30 classic papers that define standard ideas in the field of Bayesian inference.

The collection includes essential topics such as statistical inference, probability theory, and information theory.

Content covers specialized areas including utility theory, computational theory, and Bayesian econometrics.

The set is organized into seven sections covering foundations, asymptotics, and Monte Carlo methods.

Part of the International Library of Critical Writings in Econometrics series by Edward Elgar Publishing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 January 1995
Listed Since
16 December 2006

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