Bayesian Inference in Dynamic Econometric Models (Paperback)

Language: English

Published by Oxford University Press, Oxford, 2000

0198773137 / 9780198773139

Series: Book 14 of 26 - Advanced Texts in Econometrics

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Paperback. 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 abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Title
Bayesian Inference in Dynamic Econometric Models (Paperback)
Author
Luc Bauwens
Publisher
Oxford University Press, Oxford
Publication year
2000
Condition
new
Binding
Paperback
Language
English
ISBN 10
0198773137
ISBN 13
9780198773139
Series
Book 14 of 26: Advanced Texts in Econometrics

Grand Eagle Retail

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