Bayesian inference in dynamic econometric models
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Contributions
- Lubrano, Michel - Contributor
- Richard, Jean François - Contributor
Publication
1999 - Oxford University Press, Oxford [England], England
Language
English
Word Count
87,500 words, Guess
Page Count
350 pages
Identifiers
- Open LibraryOL17004601M
- ISBN-100198773129
- OCLC Control Number41420714
- Library of Congress Control Number99088890
- Goodreads7108224
and 1 more
- LibraryThing5332807
Classifications
- LCCHB141 .B42 1999
Description
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.
Subjects
Series Statement
- Advanced texts in econometrics
Other Editions
- Bayesian inference in dynamic econometric models
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