Contemporary Bayesian econometrics and statistics / John Geweke.

By: John GewekeContributor(s): John GewekeMaterial type: TextTextPublisher number: Brijwasi Book Distributors | : H-87, Lalita Park, Laxmi Nagar, Delhi-110092.Publication details: Hoboken, N.J. : John Wiley , ©2005Description: xi, 300 pages ; 25 cmISBN: 9780471679325Subject(s): EconometricsGenre/Form: Bayesian statistical decision theory.DDC classification: 330.0151 GEW
Contents:
Elements of Bayesian inference -- Topics in Bayesian inference -- Posterior simulation -- Linear models -- Modeling with latent variables -- Modeling for time series -- Bayesian investigation.
Summary: This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools,
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330.0151 GEW (Browse shelf(Opens below)) Available 25419
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Elements of Bayesian inference --
Topics in Bayesian inference --
Posterior simulation --
Linear models --
Modeling with latent variables --
Modeling for time series --
Bayesian investigation.

This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools,

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