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Bayesian Inference in Dynamic Econometric Models (Advanced Texts in Econometrics)

By Luc Bauwens

Bayesian Inference in Dynamic Econometric Models (Advanced Texts in Econometrics)

By Luc Bauwens

0 - Default Title
Description
This book offers an up-to-date coverage of the basic principles and tools of 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, and the long available analytical results of Bayesian inference for linear regression models. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
Product details
Edition:
1
Number of Pages:
368
Release Date:
2000-03-23
Publication Date:
2000-01-06
Publisher:
OUP Oxford
Languages:
Original: English
ISBN10:
0198773129
ISBN13:
9780198773122
GPSR Manufacturer Reference:
[email protected]
Weight:
716 g
Height:
161 cm
Width:
240 cm
Thickness:
24 cm
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