Introduction to Bayesian Econometrics (Paperback)

Edward Greenberg

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Language: English

Published by Cambridge University Press, Cambridge, 2014

110743677X / 9781107436770

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Paperback. 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. This textbook is an introduction to econometrics from the Bayesian viewpoint. New material includes a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The R programming language is also emphasized. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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Title
Introduction to Bayesian Econometrics (Paperback)
Author
Edward Greenberg
Publisher
Cambridge University Press, Cambridge
Publication year
2014
Condition
new
Binding
Paperback
Language
English
ISBN 10
110743677X
ISBN 13
9781107436770
Edition
2nd Edition

CitiRetail

Stevenage, United Kingdom

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AbeBooks seller since June 29, 2022

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