Items related to Bayesian Nonparametrics (Springer Series in Statistics)
Synopsis
This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.
"synopsis" may belong to another edition of this title.
About the Author
R. V. Ramamoorthi is a professor at the Department of Statistics and Probability at Michigan State University.
Review
From the reviews:
"The book will find a place as essential study for researchers in this modern area of statistics. It is well written, the signposts are clearly displayed throughout, and the literature appears to be well documented." ISI Short Book Reviews, Vol. 24/1, Apr. 2004
"This is the first book to present an exhaustive and comprehensive treatment of Bayesian nonparametrics. Ghosh and Ramamoorthi present the theoretical underpinnings of nonparametric priors in a rigorous yet extremely lucid style...It is indispensable to any serious Bayesian. It is bound to become a classic in Bayesian nonparametrics." Sankhya, 2004, Vol. 66, Part 1
"This new monograph by Ghosh and Ramamoorthi fulfills the need for an advanced and complete textbook at the graduate level, dealing with the theoretical aspects of Bayesian nonparametrics and Bayesian asymptotics. This is a noteworthy book that covers, with mathematical rigor, a broad class of subjects...Bayesian Nonparametrics will give researchers in the area of nonparametric and semiparametric Bayesian inference a well-written introduction to the theoretical aspects of the discipline, and it should be considered a must for anyone interested in Bayesian asymptotics." Journal of the American Statistical Association, September 2004
"This is the first book to present an exhaustive and comprehensive treatment of Bayesian nonparametrics. Ghosh and Ramamoorthi present the theoretical underpinnings of nonparametric priors in a rigourous yet extremely lucid style. ... It is an excellent book for a serious reader ... . This book is unique in doing all this in an elegant way – the proofs are all presented in an eminently readable style. It is indispensable to any serious Bayesian. It is bound to become a classic in Bayesian nonparametrics." (Jayaram Sethuraman, Sankhya: The Indian Journal of Statistics, Vol. 66 (1), 2004)
"The style of the book is well summarized in the following quotations: ‘This monograph provides a systematic, theoretical development of the subject’. ... The book will find a place as essential study for researches in this modern area of statistics. It is well written, the signposts are clearly displayed throughout, and the literature appears to be well documented." (M. J. Crowder, Short Book Reviews, Vol. 24 (1), 2004)
"The present monograph gives a nice overview on the state of the art in Bayesian nonparametrics. ... The reader will find a huge amount of references. In conclusion, the present book can be recommended for research and advanced lectures and seminars." (Arnold Janssen, Zentralblatt MATH, Vol. 1029, 2004)
"Nonparametrics and other infinite-dimensional problems have been difficult for Bayesians to deal with for various reasons. ... In view of all these formidable difficulties, the advances achieved in this field in recent years are truly remarkable. The book by Ghosh and Ramamoorthi discusses theoretical aspects of these advances in Bayesian nonparametrics and Bayesian asymptotics. ... The book is suggested as an introductory text at the graduate level. ... It can also serve as an excellent reference book for researchers." (Mohan Delampady, Mathematical Reviews, 2004g)
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2003
- ISBN 10 0387955372
- ISBN 13 9780387955377
- BindingHardcover
- LanguageEnglish
- Number of pages320
Buy New
View this item
US$ 233.21
US$ 15.92 shipping from United Kingdom to U.S.A.
Destination, rates & speedsOther Popular Editions of the Same Title
Search results for Bayesian Nonparametrics (Springer Series in Statistics)
Stock Image
Bayesian Nonparametrics
Published by
Springer-Verlag, New York, 2003
ISBN 10: 0387955372
ISBN 13: 9780387955377
Used
Hardcover
First Edition
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. First Printing. Octavo; G+; brown/yellow spine with white and brown text; no jacket; first printing; cloth has slight soiling wear to exterior; worn corners; slight lean to spine; mildly sunned spine; text block exterior edges good; few, small smudges to rear endpapers; interior clean; illustrated; pp 305. 1345573. FP New Rockville Stock. Seller Inventory # 1345573
Quantity: 1 available
Stock Image
Bayesian Nonparametrics (Springer Series in Statistics)
Seller: Best and Fastest Books, Wantage, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Well kept copy, solid and unmarked, light wear. Fast Shipping - Safe and Secure Bubble Mailer! Seller Inventory # 1M5GSB0003XQ_ns
Quantity: 1 available
Stock Image
Bayesian Nonparametrics (Springer Series in Statistics)
Seller: My Dead Aunt's Books, Hyattsville, MD, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Unmarked hardcover in almost like new condition. No significant wear. Seller Inventory # 89918V
Quantity: 1 available
Stock Image
Bayesian Nonparametrics (Springer Series in Statistics)
Seller: killarneybooks, Inagh, CLARE, Ireland
Seller rating 5 out of 5 stars
Hardcover. Condition: Good+. Hardcover, xii + 305 pages. A thick line in black marker on upper page edges externally. Book is missing the title page (binding has not been damaged); surface sticker-damage inside the front board. Interior is clean and bright with unmarked text, free of inscriptions and stamps, firmly bound. Boards show extensive sunning and faint shelfwear. Issued without a dust jacket. Seller Inventory # 007872
Quantity: 1 available
Stock Image
Bayesian Nonparametrics (Springer Series in Statistics)
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-C-063-01956
Quantity: 1 available
Stock Image
Bayesian nonparametrics. (Springer series in statistics). Ex-Library.
Published by
Springer, New York, &c., 2003
ISBN 10: 0387955372
ISBN 13: 9780387955377
Used
Hardcover
Seller: Yushodo Co., Ltd., Fuefuki-shi, Yamanashi Pref., Japan
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. No Jacket. xii, 305 p. Seller Inventory # GU5218
Quantity: 1 available
Stock Image
Bayesian Nonparametrics (Springer Series in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780387955377_new
Quantity: Over 20 available
Stock Image
Bayesian Nonparametrics (Springer Series in Statistics)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Feb2215580174616
Quantity: Over 20 available
Seller Image
Bayesian Nonparametrics
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course . Seller Inventory # 5912590
Quantity: Over 20 available
Seller Image
Bayesian Nonparametrics
Published by
Springer New York, Chapman And Hall/CRC Apr 2003, 2003
ISBN 10: 0387955372
ISBN 13: 9780387955377
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 324 pp. Englisch. Seller Inventory # 9780387955377
Quantity: 2 available