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9780521878265 - Fundamentals of Nonparametric Bayesian Inference: 44 Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44 by Ghosal, Subhashis; Van Der V... (21 results)
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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 (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: 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
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
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
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 88.03
£ 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
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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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 (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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Hardcover. Condition: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
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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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Cambridge Series in Statistical and Probabilistic Mathematics: Series Number 44: 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. 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.
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Cambridge Series in Statistical and Probabilistic Mathematics: Series Number 44: 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: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: 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. . . . .
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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.
-
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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
Fundamentals of Nonparametric Bayesian Inference
Book 34 of 46: Cambridge Series in Statistical and Probabilistic MathematicsLanguage: English
Published by Cambridge University Press, 2019
ISBN 10: 0521878268 ISBN 13: 9780521878265
Gebunden. Condition: 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 .
-
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. Print on Demand pp. 656.
-
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. PRINT ON DEMAND pp. 656.
-
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
