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Bayesian Inference in Dynamic Econometric Models

Language EnglishEnglish
Book Hardback
Book Bayesian Inference in Dynamic Econometric Models Luc Bauwens
Libristo code: 04528691
Publishers Oxford University Press, January 2000
This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in... Full description
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This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.

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About the book

Full name Bayesian Inference in Dynamic Econometric Models
Language English
Binding Book - Hardback
Date of issue 2000
Number of pages 366
EAN 9780198773122
ISBN 0198773129
Libristo code 04528691
Weight 673
Dimensions 163 x 242 x 24
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