Książka Bayesian Inference in Dynamic Econometric Models Luc Bauwens

Bayesian Inference in Dynamic Econometric Models

Autor: Luc Bauwens
Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-18 dni
334.80
This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2000
strony
366
EAN
9780198773139
ISBN
0198773137
Enbook ID
04033667
Waga
514
Wymiary
157 x 234 x 21

Pełny opis

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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