Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
hardcover. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: California Books, Miami, FL, U.S.A.
EUR 117,97
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 111,58
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 111,57
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 111,84
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 124,48
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 656.
Da: Revaluation Books, Exeter, Regno Unito
EUR 165,37
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 210,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 656 pages, 15 b/w illus. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. Hardcover. . . . . Books ship from the US and Ireland.
EUR 149,05
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Frontiers of Statistics and Data Science | Subhashis Ghosal (u. a.) | Taschenbuch | IISA Series on Statistics and Data Science | xviii | Englisch | 2026 | Springer | EAN 9789819607440 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
EUR 178,02
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.
EUR 179,61
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily with a prior background on the topic should be able to get a summary of developments in the field. These chapters serve as basic introductory references for new researchers in these fields, as well as the basis of teaching a course on the topic, or with a part of the course on topics of precision medicine, deep learning, high-dimensional central limit theorems, multivariate rank testing, R programming for statistics, Bayesian nonparametrics, large deviation asymptotics,spatio-temporal modeling of Covid-19, statistical network models,hidden Markov models, statistical record linkage analysis. The edited volume will be most useful for graduate students looking for an overview of any of the covered topics for their research and for instructors for developing certain courses by including any of the topics as part of the course. Students enrolled in a course covering any of the included topics can also benefit from these chapters.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 239,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 656 pages, 15 b/w illus. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 253 x 177. . . 2017. Hardcover. . . . .
EUR 251,02
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 370 pages. 9.25x6.10x9.21 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 116,41
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 134,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: CitiRetail, Stevenage, Regno Unito
EUR 120,24
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past twenty years to synthesize all aspects of Bayesian nonparametrics, from prior construction to computation and large sample behavior of posteriors. Because understanding the behavior of posteriors is critical to selecting priors that work, the large sample theory is developed systematically, illustrated by various examples of model and prior combinations. Precise sufficient conditions are given, with complete proofs, that ensure desirable posterior properties and behavior. Each chapter ends with historical notes and numerous exercises to deepen and consolidate the reader's understanding, making the book valuable for both graduate students and researchers in statistics and machine learning, as well as in application areas such as econometrics and biostatistics. Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics. Appendices with prerequisites and numerous exercises support its use for graduate courses. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: moluna, Greven, Germania
EUR 115,40
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and .
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Majestic Books, Hounslow, Regno Unito
EUR 166,48
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 656.
Lingua: Inglese
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 166,83
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 656.
Da: moluna, Greven, Germania
EUR 144,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Lingua: Inglese
Editore: Springer Verlag Gmbh Jun 2026, 2026
ISBN 10: 9819607442 ISBN 13: 9789819607440
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.
Da: moluna, Greven, Germania
EUR 144,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jun 2025, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily with a prior background on the topic should be able to get a summary of developments in the field. These chapters serve as basic introductory references for new researchers in these fields, as well as the basis of teaching a course on the topic, or with a part of the course on topics of precision medicine, deep learning, high-dimensional central limit theorems, multivariate rank testing, R programming for statistics, Bayesian nonparametrics, large deviation asymptotics,spatio-temporal modeling of Covid-19, statistical network models,hidden Markov models, statistical record linkage analysis. The edited volume will be most useful for graduate students looking for an overview of any of the covered topics for their research and for instructors for developing certain courses by including any of the topics as part of the course. Students enrolled in a course covering any of the included topics can also benefit from these chapters. 232 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Da: CitiRetail, Stevenage, Regno Unito
EUR 177,36
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily with a prior background on the topic should be able to get a summary of developments in the field. These chapters serve as basic introductory references for new researchers in these fields, as well as the basis of teaching a course on the topic, or with a part of the course on topics of precision medicine, deep learning, high-dimensional central limit theorems, multivariate rank testing, R programming for statistics, Bayesian nonparametrics, large deviation asymptotics, spatio-temporal modeling of Covid-19, statistical network models, hidden Markov models, statistical record linkage analysis. The edited volume will be most useful for graduate students looking for an overview of any of the covered topics for their research and for instructors for developing certain courses by including any of the topics as part of the course. Students enrolled in a course covering any of the included topics can also benefit from these chapters. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.