Könyv Bayesian Inference in Dynamic Econometric Models Luc Bauwens

Bayesian Inference in Dynamic Econometric Models

Szerző: Luc Bauwens
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
30 665 Ft
This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2000
oldal
366
EAN
9780198773139
ISBN
0198773137
Enbook ID
04033667
Súly
514
Méretek
157 x 234 x 21

Teljes leírás

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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