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Bayesian inference in dynamic econometric models / Luc Bauwens, Michael Lubrano and Jean-François Richard.
Author
Bauwens, Luc, 1952-
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Format
Book
Language
English
Published/Created
Oxford : Oxford University Press, 1999.
Description
1 online resource (xv, 350 pages) : illustrations.
Details
Subject(s)
Bayesian statistical decision theory
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Econometric models
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Editor
Lubrano, Michel
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Richard, Jean-François, 1943-
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Summary note
Offering an up-to-date coverage of the basic principles and tools of Bayesian inference in economics, this textbook then shows how to use Bayesian methods in a range of models suited to the analysis of macroeconomic and financial time series.
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on print version record.
ISBN
9780191695315 (ebook) :
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Bayesian inference in dynamic econometric models / Luc Bauwens, Michel Lubrano, and Jean-Francois Richard.
id
SCSB-3799985