Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: 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.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Prior Books Ltd, Cheltenham, Regno Unito
Prima edizione
EUR 52,57
Quantità: 3 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Editore: Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 656.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 99,50
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 656.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 100,62
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 103,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 656.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 100,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 115,58
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 108,64
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Editore: Cambridge University Press, GB, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. 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.
Editore: Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 125,69
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: 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.
EUR 155,58
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
Editore: Cambridge University Press, GB, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 144,64
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 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.
Editore: Cambridge University Press, GB, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 193,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 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.
Editore: Cambridge University Press, GB, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 176,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 107,94
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Editore: Cambridge University Press, 2019
ISBN 10: 0521878268 ISBN 13: 9780521878265
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 110,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: 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 .