Bayesian inference

Author(s)

• Polson, Nicholas G.
• Tiao, George C.

Bibliographic Information

Bayesian inference

edited by Nicholas G. Polson and George C. Tiao

（The international library of critical writings in econometrics, 7）（An Elgar reference collection）

E. Elgar, c1995

• : set
• v. 1
• v. 2

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.

by "Nielsen BookData"

Details

• NCID: BA24747649
• ISBN:
  • 185278668X
• LCCN: 94040799
• Country Code: uk
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Aldershot, Hants, England ; Brookfield, Vt., USA
• Pages/Volumes: 2 v.
• Size: 26 cm
• Classification:
  • LCC : HB139
  • DC20 : 330/.01/519542
  • NDC7 : 331.19
  • NDC8 : 331.19
  • NDC9 : 331.19
• Subject Headings:
  • LCSH : Econometrics
  • LCSH : Bayesian statistical decision theory
  • LCSH : Economics, Mathematical
• Parent Bibliography ID:
  • BA19368583
  • BA10867755