Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 36,98
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierhardcover. Etat : Very Good.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Prior Books Ltd, Cheltenham, Royaume-Uni
Edition originale
EUR 53,21
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierHardcover. Etat : 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.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
EUR 41,11
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Leipziger Antiquariat, Leipzig, Allemagne
EUR 59,75
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 78,47
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 101,85
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Edité par Cambridge University Press CUP, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 99,04
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. pp. 656.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Big River Books, Powder Springs, GA, Etats-Unis
EUR 40,95
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 100,29
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. pp. 656.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 103,80
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. pp. 656.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 100,21
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 111,14
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 101,84
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 37,41
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierhardcover. Etat : 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!
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 116,94
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 109,96
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : New. New. book.
Edité par Cambridge University Press, Cambridge, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 111,72
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : 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.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 144,72
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.
Edité par Cambridge University Press, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 99,02
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 155,73
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Ajouter au panierHardcover. Etat : Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
Edité par Cambridge University Press, Cambridge, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 139,55
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : 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.
Edité par Cambridge University Press, Cambridge, 2017
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 119,77
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : 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.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 109,25
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, 2019
ISBN 10 : 0521878268 ISBN 13 : 9780521878265
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 110,34
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierGebunden. Etat : 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 .