Introduction to Bayesian Econometrics (Hardcover, 2nd Revised edition)

This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	November 2012
First published:	November 2012
Authors:	Edward Greenberg
Dimensions:	257 x 175 x 20mm (L x W x T)
Format:	Hardcover
Pages:	270
Edition:	2nd Revised edition
ISBN-13:	978-1-107-01531-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Business & Economics > Economics > Econometrics > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	1-107-01531-6
Barcode:	9781107015319

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