Probability Matching Priors: Higher Order Asymptotics:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2004
|
| Series: | Lecture Notes in Statistics
178 |
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | 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 journals |
| Physical Description: | 1 Online-Ressource (X, 127p) |
| ISBN: | 9781461220367 9780387203294 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-2036-7 |
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| spelling | Datta, Gauri Sankar Verfasser aut Probability Matching Priors: Higher Order Asymptotics by Gauri Sankar Datta, Rahul Mukerjee New York, NY Springer New York 2004 1 Online-Ressource (X, 127p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 178 0930-0325 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 journals Statistics Distribution (Probability theory) Mathematical statistics Econometrics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik Asymptotische Statistik (DE-588)4203167-9 gnd rswk-swf A-priori-Verteilung (DE-588)4525912-4 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Asymptotische Statistik (DE-588)4203167-9 s Bayes-Verfahren (DE-588)4204326-8 s A-priori-Verteilung (DE-588)4525912-4 s 1\p DE-604 Mukerjee, Rahul Sonstige oth https://doi.org/10.1007/978-1-4612-2036-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Datta, Gauri Sankar Probability Matching Priors: Higher Order Asymptotics Statistics Distribution (Probability theory) Mathematical statistics Econometrics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik Asymptotische Statistik (DE-588)4203167-9 gnd A-priori-Verteilung (DE-588)4525912-4 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| subject_GND | (DE-588)4203167-9 (DE-588)4525912-4 (DE-588)4204326-8 |
| title | Probability Matching Priors: Higher Order Asymptotics |
| title_auth | Probability Matching Priors: Higher Order Asymptotics |
| title_exact_search | Probability Matching Priors: Higher Order Asymptotics |
| title_full | Probability Matching Priors: Higher Order Asymptotics by Gauri Sankar Datta, Rahul Mukerjee |
| title_fullStr | Probability Matching Priors: Higher Order Asymptotics by Gauri Sankar Datta, Rahul Mukerjee |
| title_full_unstemmed | Probability Matching Priors: Higher Order Asymptotics by Gauri Sankar Datta, Rahul Mukerjee |
| title_short | Probability Matching Priors: Higher Order Asymptotics |
| title_sort | probability matching priors higher order asymptotics |
| topic | Statistics Distribution (Probability theory) Mathematical statistics Econometrics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik Asymptotische Statistik (DE-588)4203167-9 gnd A-priori-Verteilung (DE-588)4525912-4 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| topic_facet | Statistics Distribution (Probability theory) Mathematical statistics Econometrics Statistical Theory and Methods Probability Theory and Stochastic Processes Statistik Asymptotische Statistik A-priori-Verteilung Bayes-Verfahren |
| url | https://doi.org/10.1007/978-1-4612-2036-7 |
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