Bayesian Inference in Dynamic Econometric Models 2024 pdf epub mobi 电子书

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发表于2024-11-23

Bayesian Inference in Dynamic Econometric Models 2024 pdf epub mobi 电子书

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出版者:

作者:Bauwens, Luc; Lubrano, Michel; Richard, Jean Francois

出品人:

页数:366

译者:

出版时间:2000-1

价格:$ 197.75

装帧:

isbn号码:9780198773122

丛书系列:

图书标签: 贝叶斯 Econometrics

Bayesian Inference in Dynamic Econometric Models 2024 pdf epub mobi 电子书图书描述

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.

Bayesian Inference in Dynamic Econometric Models 2024 pdf epub mobi 电子书

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