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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
First Edition
hardcover. Condition: 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).
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Seller: Prior Books Ltd, Cheltenham, United Kingdom
Association Member: ABA ILAB PBFA
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs; hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: As New. Unread book in perfect condition.
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: New.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: New.
-
Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: New.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 86.63
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Fundamentals of Nonparametric Bayesian Inference Cambridge Series in Statistical and Probabilistic Mathematics, Band 44
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: Gut. 646 Seiten Zustand: Einband etwas berieben, Ecken etwas bestoßen, Schnitt etwas abgegriffen // Text in Englisch. Unser Produktfoto entspricht dem hier angebotenen Artikel. Alle Artikel befinden sich stets in gebrauchsfähigem Zustand. Gebrauchte Bücher sparen Ressourcen gegenüber Neuware und schonen die Umwelt. /// Versand gratis Innerhalb Deutschlands - Portofrei in Deutschland- ab 20 Euro mit Post ID - Gratisversand deutschlandweit innerhalb Deutschlands gratis Versand -Versandkostenfrei innerhalb Deutschlands /// Sprache: Englisch Gewicht in Gramm: 1440 26,0 x 18,5 cm, Pappband/Hardcover.
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Hardcover. Condition: New. New. book.
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Frontiers of Statistics and Data Science (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Hardcover. Condition: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Condition: New. pp. 656.
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Condition: New.
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Hardcover. Condition: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
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Frontiers of Statistics and Data Science (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Hardcover. Condition: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: As New. Unread book in perfect condition.
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Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.
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Frontiers of Statistics and Data Science (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Hardcover. Condition: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Frontiers of Statistics and Data Science
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819607418 ISBN 13: 9789819607419
Buch. Condition: 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.
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Hardcover. Condition: Brand New. 370 pages. 9.25x6.10x9.21 inches. In Stock.
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Fundamentals of Nonparametric Bayesian Inference (Hardcover)
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Hardcover. Condition: 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 multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condition: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
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Condition: new. Questo è un articolo print on demand.
