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Fundamentals Nonparametric Bayesian Inference by Ghosal Subhashis (24 results)
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Condition: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Seller: Prior Books Ltd, Cheltenham, United Kingdom
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First Edition
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Fundamentals of Nonparametric Bayesian Inference
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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Fundamentals of Nonparametric Bayesian Inference
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics)
Published by Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Condition: New. pp. 656.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
US$ 112.79
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Condition: New.
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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Fundamentals of Nonparametric Bayesian Inference (Hardcover)
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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. 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
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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Fundamentals of Nonparametric Bayesian Inference Cambridge Series in Statistical and Probabilistic Mathematics, Band 44
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
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Add to basketCondition: 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
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics)
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
US$ 128.77
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Fundamentals of Nonparametric Bayesian Inference (Hardcover)
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
US$ 130.82
Convert currencyUS$ 49.74 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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US$ 180.86
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Add to basketHardcover. Condition: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
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Fundamentals of Nonparametric Bayesian Inference (Hardcover)
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
US$ 162.86
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Fundamentals of Nonparametric Bayesian Inference
Published by Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
US$ 173.29
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Add to basketBuch. 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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Add to basketHardcover. Condition: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
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Fundamentals of Nonparametric Bayesian Inference
Published by Cambridge University Press, 2019
ISBN 10: 0521878268 ISBN 13: 9780521878265
Language: English
US$ 132.12
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Add to basketGebunden. 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 .
