eBook - PDF

Introduction to Bayesian Econometrics

Name: Introduction to Bayesian Econometrics
ISBN: 9781139786331

Edward Greenberg,

English
PDF
Available on iOS & Android

eBook - PDF

Introduction to Bayesian Econometrics

Edward Greenberg,

About this book

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.

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Yes, you can access Introduction to Bayesian Econometrics by Edward Greenberg in PDF and/or ePUB format, as well as other popular books in Economia & Econometria. We have over one million books available in our catalogue for you to explore.