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Introduction to Bayesian econometrics

作者: Edward Greenberg
出版商: Cambridge ; New York : Cambridge University Press, 2008.
版本/格式:   圖書 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
"This concise textbook is an introduction to econometrics from the Bayesian viewpoint. It begins with an explanation of the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It then turns to the definitions of the likelihood function, prior distributions, and posterior distributions. It explains how posterior distributions are
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資料類型: 網際網路資源
文件類型: 圖書, 網路資源
所有的作者/貢獻者: Edward Greenberg
ISBN: 9780521858717 0521858712
OCLC系統控制編碼: 144598187
描述: xv, 205 p. : ill. ; 27 cm.
内容: Basic concepts of probability and inference --
Posterior distributions and inference --
Prior distributions --
Classical simulation --
Basics of Markov chains --
Simulation by MCMC methods --
Linear regression and extensions --
Multivariate responses --
Time series --
Endogenous covariates and sample selection --
Appendix A : Probability distributions and Matrix theorems --
Appendix B : Computer programs for MCMC calculations.
責任: Edward Greenberg.
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This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates.  再讀一些...

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"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 good 再讀一些...

 
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