Introduction to Bayesian Econometrics - Couverture rigide

Greenberg, Edward

Couverture rigide

ISBN 10 : 1107015316 ISBN 13 : 9781107015319

Editeur : Cambridge University Press, 2012

Synopsis

Rare Book

A propos du livre

Revue de presse :

'Edward Greenberg's Introduction to Bayesian Econometrics provides clear and concise coverage of Bayesian theory, computational methods, and important applications. Three years of teaching from its first edition convince me that it is a splendid textbook. The second edition is further enhanced by more applications and new guidance on use of free R software.' John P. Burkett, University of Rhode Island

'The apple has not fallen far from the tree, as this second edition of Introduction to Bayesian Econometrics continues in the fine tradition of its predecessor. Along with considerable new material, this second edition contains a thoughtful discussion of important models in time series and financial econometrics (including ARCH/GARCH and stochastic volatility models), as well as an introduction to flexible Bayesian techniques for distribution and regression function modeling. Throughout the text Greenberg engages the reader with an accessible writing style, real data applications, and references to the R programming language. There is much to be learned within these pages. Students and researchers in statistics, biostatistics, economics, and the social sciences will find this to be a tremendously valuable resource.' Justin Tobias, Purdue University

Review of the first edition: 'Professor Greenberg has assembled a tremendously valuable resource for anyone who wants to learn more about the Bayesian world. The book begins at an introductory level that should be accessible to a wide range of readers and then builds on these fundamental ideas to help the reader develop an in-depth understanding of modern Bayesian econometrics. The explanations are very clearly written, and the content is supported with many detailed examples and real-data applications.' Douglas J. Miller, University of Missouri, Columbia

Review of the first edition: 'This concise textbook covers the theoretical underpinnings of econometrics, the MCMC algorithm, and a large number of important econometric applications in an accessible yet rigorous manner. I highly recommend Greenberg's book as a PhD-level textbook and as a source of reference for researchers entering the field.' Rainer Winkelmann, University of Zurich

Review of the first edition: 'This book provides an excellent introduction to Bayesian econometrics and statistics with many references to the recent literature that will be very helpful for students and others who have a strong background in calculus.' Arnold Zellner, University of Chicago

Biographie de l'auteur :

Edward Greenberg is Professor Emeritus of Economics at Washington University, St Louis, where he served as a Full Professor on the faculty from 1969 to 2005. Professor Greenberg also taught at the University of Wisconsin, Madison, and has been a Visiting Professor at the University of Warwick (UK), Technion University (Israel) and the University of Bergamo (Italy). A former holder of a Ford Foundation Faculty Fellowship, Greenberg is the author of the first edition of Introduction to Bayesian Econometrics (Cambridge University Press, 2008) and the co-author of four books: Wages, Regime Switching, and Cycles (1992), The Labor Market and Business Cycle Theories (1989), Advanced Econometrics (1983, revised 1991) and Regulation, Market Prices, and Process Innovation (1979). His published research has appeared in leading journals such as the American Economic Review, Econometrica, the Journal of Econometrics, the Journal of the American Statistical Association, Biometrika and the Journal of Economic Behavior and Organization. Professor Greenberg's current research interests include dynamic macroeconomics as well as Bayesian econometrics.

À propos de cette édition

• Éditeur: Cambridge University Press
• Date d'édition: 2012
• ISBN 10: 1107015316
• ISBN 13: 9781107015319
• Reliure: Relié
• Numéro d'édition: 2
• Nombre de pages: 270