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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Luc Bauwens is currently Professor of Economics at the Université 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 Facultés 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-François Richard is University Professor of Economics at the University of Pittsburgh.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : West With The Night, Tucson, AZ, Etats-Unis
Trade paperback. Trade paperback (US). Glued binding. 366 p. Advanced Texts in Econometrics. Audience: General/trade. Very good. light shelfwear, previous owner name on first page, N° de réf. du vendeur Alibris.0028322
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Vendeur : Mahler Books, PFLUGERVILLE, TX, Etats-Unis
Paperback. Etat : Good. 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. N° de réf. du vendeur 06SA24-878-269
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Vendeur : MARCIAL PONS LIBRERO, MADRID, M, Espagne
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0198773137. N° de réf. du vendeur 7860507
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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods. Series: Advanced Texts in Econometrics. Num Pages: 366 pages, graphs. BIC Classification: KCH; PBT; PBWH; UGK. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 21. Weight in Grams: 514. . 2000. Paperback. . . . . N° de réf. du vendeur V9780198773139
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N° de réf. du vendeur C9780198773139
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Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. 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 abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780198773139
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur IQ-9780198773139
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