9780387955377 - bayesian nonparametrics di ghosh, j. k.; ramamoorthi, r. v. (16 risultati)

Lingua: Inglese
Editore: Springer April 2003 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
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Da: Magus Books Seattle, Seattle, WA, U.S.A.Magus Books Seattle
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Hardcover. Condizione: VG-. No Jacket. used hardcover copy, lacking a dust jacket (as issued). light shelfwear, corners perhaps slightly bumped. some discoloration/wear from age. pages and binding are clean, straight, and tight. there are no marks to the text or other serious flaws.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
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Da: killarneybooks, Inagh, CLARE, Irlandakillarneybooks
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Hardcover. Condizione: 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. Board…s show extensive sunning and faint shelfwear. Issued without a dust jacket.

Lingua: Inglese
Editore: Springer, New York, &c. 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: Yushodo Co., Ltd., Fuefuki-shi, Yamanashi Pref., , GiapponeYushodo Co., Ltd.
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Hardcover. Condizione: Good. No Jacket. xii, 305 p.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: GoldBooks, Denver, CO, U.S.A.GoldBooks
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Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.

Lingua: Inglese
Editore: Springer New York 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
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Da: Buchpark, Trebbin, , GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | 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 o…f 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.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 324.

Lingua: Inglese
Editore: Springer, Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: Like New. Like New. book.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.

Lingua: Inglese
Editore: Springer New York 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
- Print on Demand
Da: moluna, Greven, , Germaniamoluna
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Condizione: 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 u…sed as the text for a graduate course .

Lingua: Inglese
Editore: Springer New York, Chapman And Hall/CRC Apr 2003 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 spe…cial 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.

Lingua: Inglese
Editore: Springer, Springer Apr 2003 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 324 pp. Englisch.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 324 Illus.

Lingua: Inglese
Editore: Springer 2003
Serie: Springer Series in Statistics, Libro 65 di 160. Libro 65 di 160 - Springer Series in Statistics
- Rilegato
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 324.