This book is in good condition; no remainder marks. It does have some cover shelfwear, edge wear, corner wear. Inside pages have no writing. ; Advanced Texts In Econometrics; 23.4 X 15.6 X 1.94 centimeters; 366 pages.

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D�tails bibliographiques

Titre: Bayesian Inference in Dynamic Econometric Models
�diteur: Oxford University Press
Date de parution: 2000
Langue: anglais
ISBN � 10 chiffres: 0198773137
ISBN � 13 chiffres: 9780198773139
Reliure: Paperback
�tat de l'article: Good

A propos de ce titre

Synopsis

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.

� propos de l?auteur

Luc Bauwens is currently Professor of Economics at the Universit� catholique de Louvain, where he has been co-director of the Center for Operations Research and Econometrics (CORE) from 1992 to 1998. He has previously been a lecturer at Ecole des Hautes Etudes en Sciences Sociales (EHESS), France, at Facult�s universitaires catholiques de Mons (FUCAM), Belgium, and a consultant at the World Bank, Washington DC. His research interests cover Bayesian inference, time series methods, simulation and numerical methods in econometrics, as well as empirical finance and international trade.

Michel Lubrano is Directeur de Recherche at CNRS, part of GREQAM in Marseille.

Jean-Fran�ois Richard is University Professor of Economics at the University of Pittsburgh.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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