Bayesian inference
Author(s)
Bibliographic Information
Bayesian inference
(The international library of critical writings in econometrics, 7)(An Elgar reference collection)
E. Elgar, c1995
- : set
- v. 1
- v. 2
Available at 74 libraries
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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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