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Bayesian nonparametrics

Ghosh, J. K.

Bayesian nonparametrics

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Bayesian nonparametrics/ J.K. Ghosh, R.V. Ramamoorthi.
作者:	Ghosh, J. K.
其他作者:	Ramamoorthi, R. V.
出版者:	New York :Springer,�003.
面頁冊數:	1 online resource (xii, 305 pages) :illustrations.
標題:	Nonparametric statistics. -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0387226540 (electronic bk.)
ISBN:	9780387226545 (electronic bk.)
ISBN:	0585472459 (electronic bk.)
ISBN:	9780585472454 (electronic bk.)

Bayesian nonparametrics
Ghosh, J. K.

Bayesian nonparametrics[electronic resource] /J.K. Ghosh, R.V. Ramamoorthi. - New York :Springer,�003. - 1 online resource (xii, 305 pages) :illustrations. - Springer series in statistics. - Springer series in statistics..

Includes bibliographical references (p. [285]-299) and index.

Cover -- Contents -- Introduction -- 1. Preliminaries and the Finite Dimensional Case -- 2. M(X) and Priors on M(X) -- 3. Dirichlet and Polya tree process -- 4. Consistency Theorems -- 5. Density Estimation -- 6. Inference for Location Parameter -- 7. Regression Problems -- 8. Uniform Distribution on Infinite-Dimensional Spaces -- 9. Survival Analysis-Dirichlet Priors -- 10. Neutral to the Right Priors -- 11. Exercises -- References.

Bayesian nonparametrics has grown tremendously in the last three decades, especially in the last few years. This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonparametric methods of classical statistics. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian nonparametrics. Though the emphasis of the book is on nonparametrics, there is a substantial chapter on asymptotics of classical Bayesian parametric models. Jayanta Ghosh has been Director and Jawaharlal Nehru Professor at the Indian Statistical Institute and President of the International Statistical Institute. He is currently professor of statistics at Purdue University. He has been editor of Sankhya and served on the editorial boards of several journals including the Annals of Statistics. Apart from Bayesian analysis, his interests include asymptotics, stochastic modeling, high dimensional model selection, reliability and survival analysis and bioinformatics. R.V. Ramamoorthi is professor at the Department of Statistics and Probability at Michigan State University. He has published papers in the areas of sufficiency invariance, comparison of experiments, nonparametric survival analysis and Bayesian analysis. In addition to Bayesian nonparametrics, he is currently interested in Bayesian networks and graphical models. He is on the editorial board of Sankhya.

ISBN: 0387226540 (electronic bk.)Subjects--Topical Terms:

146803
Nonparametric statistics.
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: QA279.5 / .G48 2003eb

Dewey Class. No.: 519.5/42

Bayesian nonparametrics
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