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"Introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates."@en
"Introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics, and other applied fields. These include the linear regression model and extensions to Tobit, probit, and logit models; time series models; and models involving endogenous variables."
"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. The second edition includes new material."@en

genre

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"Leermiddelen (vorm)"
"Leermiddelen (vorm)"@en
"Electronic books"@en
"Electronic books"
"Lehrbuch"

name

http://schema.org/name

"Introduction to Bayesian enconometrics"
"Introduction to Bayesian econometrics"
"Introduction to Bayesian econometrics"@en
"Introduction to bayesian econometrics"
"Introduction to Bayesian Econometrics"
"Introduction to Bayesian Econometrics"@en

workExample

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