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

出版者:Oxford University Press, USA

作者:Luc Bauwens

页数:366

出版时间:2000-03-23

价格:USD 95.00

装帧:Paperback

isbn号码:9780198773139

图书标签:贝叶斯

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.