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Introduction to Bayesian Econometrics (Paperback, 2nd Revised edition) Loot Price: R1,235
Discovery Miles 12 350
Introduction to Bayesian Econometrics (Paperback, 2nd Revised edition): Edward Greenberg

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

Edward Greenberg

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Loot Price R1,235 Discovery Miles 12 350 | Repayment Terms: R116 pm x 12*

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This textbook, now in its second edition, is an introduction to econometrics from the Bayesian viewpoint. It begins with an explanation of the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It then turns to the definitions of the likelihood function, prior distributions, and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. The Bernoulli distribution is used as a simple example. 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, which leads to an explanation of classical and Markov chain Monte Carlo (MCMC) methods of simulation. The latter is proceeded by a brief introduction to Markov chains. 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, which has become the most widely used environment for Bayesian statistics.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: August 2014
First published: August 2014
Authors: Edward Greenberg
Dimensions: 254 x 178 x 14mm (L x W x T)
Format: Paperback - Trade
Pages: 270
Edition: 2nd Revised edition
ISBN-13: 978-1-107-43677-0
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
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LSN: 1-107-43677-X
Barcode: 9781107436770

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