Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 58,78
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Añadir al carritohardcover. Condición: 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).
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 78,61
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 115,59
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 117,97
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Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 111,58
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 111,57
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 111,84
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Añadir al carritoHardcover. Condición: New. New. book.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 124,48
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 162,16
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Añadir al carritoCondición: New. pp. 656.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 165,37
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Añadir al carritoHardcover. Condición: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 201,84
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 202,90
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 210,28
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Añadir al carritoCondición: 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
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 228,93
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EUR 178,02
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering.
EUR 179,61
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Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 239,77
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 370 pages. 9.25x6.10x9.21 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 116,41
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Añadir al carritoHardcover. Condición: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 134,27
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: CitiRetail, Stevenage, Reino Unido
EUR 120,24
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Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: moluna, Greven, Alemania
EUR 115,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 .
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Majestic Books, Hounslow, Reino Unido
EUR 166,48
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 656.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 166,83
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 656.
Librería: moluna, Greven, Alemania
EUR 144,94
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Idioma: Inglés
Publicado por Springer Verlag Gmbh Jun 2026, 2026
ISBN 10: 9819607442 ISBN 13: 9789819607440
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 171,19
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.
Librería: moluna, Greven, Alemania
EUR 144,94
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jun 2025, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 171,19
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Librería: CitiRetail, Stevenage, Reino Unido
EUR 177,36
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.