Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 46,24
Cantidad disponible: 3 disponibles
Añadir al carritohardcover. Condición: 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).
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 61,86
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 74,73
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Prior Books Ltd, Cheltenham, Reino Unido
Original o primera edición
EUR 53,73
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 79,24
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 76,15
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 114,33
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 116,98
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 110,79
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 110,78
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 123,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 111,04
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. New. book.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 160,80
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 656.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 163,67
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 130,36
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 208,52
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 239,77
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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. . . . .
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 116,69
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 115,59
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 646 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: CitiRetail, Stevenage, Reino Unido
EUR 119,39
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Majestic Books, Hounslow, Reino Unido
EUR 160,40
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 656.
Idioma: Inglés
Publicado por Cambridge University Press, 2019
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: moluna, Greven, Alemania
EUR 115,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 .
Idioma: Inglés
Publicado por Cambridge University Press, 2017
ISBN 10: 0521878268 ISBN 13: 9780521878265
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 161,45
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 656.