Articles liés à Bayesian Nonparametrics
Synopsis
Book by Ghosh JK Ramamoorthi RV
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2003
- ISBN 10 0387955372
- ISBN 13 9780387955377
- ReliureRelié
- Langueanglais
- Nombre de pages308
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Bayesian Nonparametrics (Springer Series in Statistics)
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Springer, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
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Hardcover. Etat : 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. N° de réf. du vendeur 007872
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Bayesian Nonparametrics (Springer Series in Statistics)
Edité par
Springer, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
Ancien ou d'occasion
Couverture rigide
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Etat : 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. N° de réf. du vendeur Z1-C-063-01956
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Bayesian Nonparametrics
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Springer-Verlag, New York, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
Ancien ou d'occasion
Couverture rigide
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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. N° de réf. du vendeur 1345573
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Bayesian Nonparametrics (Springer Series in Statistics)
Edité par
Springer, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
Ancien ou d'occasion
Couverture rigide
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hardcover. Etat : Very Good. Unmarked hardcover in almost like new condition. No significant wear. N° de réf. du vendeur 89918V
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Bayesian Nonparametrics (Springer Series in Statistics)
Edité par
Springer, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
Ancien ou d'occasion
Couverture rigide
Vendeur : Best and Fastest Books, Wantage, NJ, Etats-Unis
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Bayesian nonparametrics. (Springer series in statistics). Ex-Library.
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Springer, New York, &c., 2003
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ISBN 13 : 9780387955377
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Hardcover. Etat : Good. No Jacket. xii, 305 p. N° de réf. du vendeur GU5218
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Bayesian Nonparametrics
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Springer New York, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
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Gebunden. Etat : 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 . N° de réf. du vendeur 5912590
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Bayesian Nonparametrics (Springer Series in Statistics)
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Bayesian Nonparametrics
Edité par
Springer New York, Chapman And Hall/CRC Apr 2003, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9780387955377
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Bayesian Nonparametrics
Edité par
Springer New York, Springer US, 2003
ISBN 10 : 0387955372
ISBN 13 : 9780387955377
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9780387955377
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