Bayesian Nonparametrics (76 results)
Language: English
Published by SIAM: Society for Industrial and Applied Mathematics, 2004
- Softcover
- First Edition
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Soft cover. Condition: As New. 1st Edition. This is a fine, as new, first edition, first printing paperback copy, red wraps. 96 pages with index and bibliography.
Language: English
Published by Springer April 2003, 2003
Series: Springer Series in Statistics, Book 65 of 160. Book 65 of 160 - Springer Series in Statistics
- Hardcover
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Language: English
Published by Springer, 2010
Series: Springer Series in Statistics, Book 65 of 160. Book 65 of 160 - Springer Series in Statistics
- Softcover
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Trade Paperback. Condition: Very Good. Very solid overall, pages tight and unmarked.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2004
- Softcover
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Language: English
Published by SIAM: Society for Industrial and Applied Mathematics, 2004
- Softcover
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Language: English
Published by SIAM: Society for Industrial and Applied Mathematics, 2004
- Softcover
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Language: English
Published by Society for Industrial and Applied Mathematics, 2004
- Softcover
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Condition: New. 2004. paperback. . . . . .
Language: English
Published by SIAM: Society for Industrial and Applied Mathematics, 2004
- Softcover
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Paperback. Condition: Brand New. illustrated edition. 104 pages. 9.50x6.75x0.25 inches. In Stock.
Language: English
Published by Society for Industrial and Applied Mathematics (SIAM), 2004
- Softcover
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Language: English
Published by SIAM: Society for Industrial and Applied Mathematics, 2004
- Softcover
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Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2004
- Softcover
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Paperback. Condition: New. Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. It discusses neural networks in a statistical context, an approach in contrast to existing books, which tend to…treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and ways to deal with this issue, exploring ideas from statistics and machine learning. An analysis on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, this book will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.
Language: English
Published by Society for Industrial and Applied Mathematics, 2004
- Softcover
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Condition: New. 2004. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by Springer, 2003
Series: Springer Series in Statistics, Book 65 of 160. Book 65 of 160 - Springer Series in Statistics
- Hardcover
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Hardcover. Condition: Good+. Hardcover, xii + 305 pages. A thick line in black marker on upper page edges externally. Book is missing the title page (binding has not been damaged); surface sticker-damage inside the front board. Interior is clean and bright with unmarked text, free of inscriptions and stamps, firmly bound. Boards… show extensive sunning and faint shelfwear. Issued without a dust jacket.
Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
- First Edition
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Hardcover. Condition: Very Good. No Jacket. 1st Edition. Internally clean and unmarked but with some sticker residue to front cover.
Bayesian Nonparametrics
Hjort, Nils Lid (EDT); Holmes, Chris (EDT); Muller, Peter (EDT); Walker, Stephen G. (EDT)
Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Bayesian Nonparametrics
Hjort, Nils Lid (EDT); Holmes, Chris (EDT); Muller, Peter (EDT); Walker, Stephen G. (EDT)
Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Bayesian Nonparametrics
Hjort, Nils Lid (EDT); Holmes, Chris (EDT); Muller, Peter (EDT); Walker, Stephen G. (EDT)
Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 110 of 110. Book 110 of 110 - ISSN
- Hardcover
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Bayesian Nonparametrics
Hjort, Nils Lid (EDT); Holmes, Chris (EDT); Muller, Peter (EDT); Walker, Stephen G. (EDT)
Language: English
Published by Cambridge University Press, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Cambridge University Press, GB, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Hardback. Condition: New. Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the… perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics.
Language: English
Published by Springer, New York, &c., 2003
Series: Springer Series in Statistics, Book 65 of 160. Book 65 of 160 - Springer Series in Statistics
- Hardcover
Seller: Yushodo Co., Ltd., Fuefuki-shi, Yamanashi Pref., JapanYushodo Co., Ltd.
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Hardcover. Condition: Good. No Jacket. xii, 305 p.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2004
- Softcover
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Paperback. Condition: New. Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. It discusses neural networks in a statistical context, an approach in contrast to existing books, which tend to…treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and ways to deal with this issue, exploring ideas from statistics and machine learning. An analysis on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, this book will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.
Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 110 of 110. Book 110 of 110 - ISSN
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 110 of 110. Book 110 of 110 - ISSN
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2023
Series: ISSN, Book 110 of 110. Book 110 of 110 - ISSN
- Hardcover
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Language: English
Published by Springer, 2003
Series: Springer Series in Statistics, Book 65 of 160. Book 65 of 160 - Springer Series in Statistics
- Hardcover
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Hardcover. Condition: new. New Copy. Customer Service Guaranteed.
Language: English
Published by Cambridge Univ Pr, 2010
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 20 of 46. Book 20 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 270 pages. 10.00x7.10x0.80 inches. In Stock.
