书目名称 | Probability Matching Priors: Higher Order Asymptotics | 编辑 | Gauri Sankar Datta,Rahul Mukerjee | 视频video | | 概述 | The first book on the topic of probability matching priors | 丛书名称 | Lecture Notes in Statistics | 图书封面 |  | 描述 | .Probability matching priors, ensuring frequentist validity of posterior credible sets up to the desired order of asymptotics, are of substantial current interest. They can form the basis of an objective Bayesian analysis. In addition, they provide a route for obtaining accurate frequentist confidence sets, which are meaningful also to a Bayesian. This monograph presents, for the first time in book form, an up-to-date and comprehensive account of probability matching priors addressing the problems of both estimation and prediction. Apart from being useful to researchers, it can be the core of a one-semester graduate course in Bayesian asymptotics....Gauri Sankar Datta is a professor of statistics at the University of Georgia. He has published extensively in the fields of Bayesian analysis, likelihood inference, survey sampling, and multivariate analysis....Rahul Mukerjee is a professor of statistics at the Indian Institute of Management Calcutta. He co-authored three other research monographs, including "A Calculus for Factorial Arrangements" in this series. A fellow of the Institute of Mathematical Statistics, Dr. Mukerjee is on the editorial boards of several international journa | 出版日期 | Book 2004 | 关键词 | Likelihood; Variance; mathematical statistics; sets; statistics | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4612-2036-7 | isbn_softcover | 978-0-387-20329-4 | isbn_ebook | 978-1-4612-2036-7Series ISSN 0930-0325 Series E-ISSN 2197-7186 | issn_series | 0930-0325 | copyright | Springer-Verlag New York, Inc. 2004 |
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