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.
Les mer
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.
Les mer
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.
Les mer

Produktdetaljer

ISBN
9781852786687
Publisert
1995-01-01
Utgiver
Vendor
Edward Elgar Publishing Ltd
Høyde
244 mm
Bredde
169 mm
Aldersnivå
UU, UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
800

Biographical note

Edited by Nicholas G. Polson, Assistant Professor of Statistics and George C. Tiao, W. Allen Wallis Professor of Statistics, University of Chicago, US