This volume in the Econometric Exercises series contains questions and answers to provide students with useful practice, as they attempt to master Bayesian econometrics. In addition to many theoretical exercises, this book contains exercises designed to develop the computational tools used in modern Bayesian econometrics. The latter half of the book contains exercises that show how these theoretical and computational skills are combined in practice, to carry out Bayesian inference in a wide variety of models commonly used by econometricians. Aimed primarily at advanced undergraduate and graduate students studying econometrics, this book may also be useful for students studying finance, marketing, agricultural economics, business economics or, more generally, any field which uses statistics. The book also comes equipped with a supporting website containing all the relevant data sets and MATLAB computer programs for solving the computational exercises.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Gary Koop is Professor of Economics at the University of Strathclyde. He has published numerous articles in Bayesian econometrics and statistics in journals such as Journal of Econometrics, Journal of the American Statistical Association and the Journal of Business and Economic Statistics. He is an associate editor for several journals, including the Journal of Econometrics and the Journal of Applied Econometrics. He is the author of the books Bayesian Econometrics, Analysis of Economic Data and Analysis of Financial Data.
Dale J. Poirier is Professor of Economics at the University of California, Irvine. He is a Fellow of the Econometric Society, the American Statistical Association, and the Journal of Econometrics. He has been on the Editorial Boards of the Journal of Econometrics, Econometric Theory, and was the founding editor of Econometric Reviews. His professional activities have been numerous, and he has held elected positions in the American Statistical Association and the International Society for Bayesian Analysis. Previous books include Intermediate Statistics and Econometrics: A Comparative Approach and The Econometrics of Structural Change.
Justin L. Tobias is Associate Professor of Economics, Iowa State University, and has also served as an Assistant/Associate Professor of Economics at the University of California, Irvine. Professor Tobias has authored numerous articles in leading journals, including the International Economic Review, the Journal of Applied Econometrics, the Journal of Business and Economic Statistics, the Journal of Econometrics, and the Review of Economics and Statistics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Zoom Books Company, Lynden, WA, Etats-Unis
Etat : very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. N° de réf. du vendeur ZBV.0521671736.VG
Quantité disponible : 1 disponible(s)
Vendeur : Miki Store, San Jose, CA, Etats-Unis
paperback. Etat : Good. This book has some underline, writing but still in good condition in general, no lost page, no tear. N° de réf. du vendeur dd-bs35
Quantité disponible : 1 disponible(s)
Vendeur : Moe's Books, Berkeley, CA, Etats-Unis
softcover. Etat : Very good. Corners slightly scuffed. N° de réf. du vendeur 1114352
Quantité disponible : 1 disponible(s)
Vendeur : online-buch-de, Dozwil, Suisse
Mar 15, 2007. Etat : gebraucht; wie neu. N° de réf. du vendeur 503-5-1-15
Quantité disponible : 1 disponible(s)
Vendeur : BennettBooksLtd, Los Angeles, CA, Etats-Unis
paperback. Etat : New. In shrink wrap. Looks like an interesting title! N° de réf. du vendeur Q-0521671736
Quantité disponible : 1 disponible(s)