Baysian Nonparametrics via Neural Networks (ASA-SIAM Series on Statistics and Applied Probability)

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9780898715637: Baysian Nonparametrics via Neural Networks (ASA-SIAM Series on Statistics and Applied Probability)

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.

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Book Description:

This is the first book that discusses neural networks in the context of nonparametric regression and classification, within the Bayesian paradigm. It considers neural networks in a statistical context, a contrasting approach to existing books, which typically treat neural networks as a machine learning algorithm instead of a statistical model.

About the Author:

Herbert K. H. Lee is an Assistant Professor of Applied Mathematics and Statistics at the University of California, Santa Cruz. His major research interest is in the field of Bayesian statistics, with primary emphases on spatial inverse problems and connections between statistics and machine learning. While at the Institute of Statistics and Decision Science at Duke, he was part of the NSF/KDI-funded project Multi-Scale Modeling and Simulation in Scientific Inference: Hierarchical Methods for Parameter Estimation in Porous Flow, and he has published journal articles on topics in both Bayesian statistics and machine learning.

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Herbert K. H. Lee
Editorial: Society for Industrial Applied Mathematics,U.S., United States (2004)
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Descripción Society for Industrial Applied Mathematics,U.S., United States, 2004. Paperback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAN9780898715637

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Lee, Herbert K. H.
Editorial: Society for Industrial and Applied Mathematics (2004)
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Descripción Society for Industrial and Applied Mathematics, 2004. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9780898715637

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Herbert K. H. Lee
Editorial: Society for Industrial Applied Mathematics,U.S., United States (2004)
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Descripción Society for Industrial Applied Mathematics,U.S., United States, 2004. Paperback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAN9780898715637

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Herbert K. H. Lee
Editorial: SIAM: Society for Industrial and Applied Mathematics (2004)
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Descripción SIAM: Society for Industrial and Applied Mathematics, 2004. Paperback. Estado de conservación: New. book. Nº de ref. de la librería M0898715636

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HERBERT K. H. LEE
Editorial: Soc Industrial Applied Maths (2004)
ISBN 10: 0898715636 ISBN 13: 9780898715637
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Descripción Soc Industrial Applied Maths, 2004. Paperback. Estado de conservación: NEW. 9780898715637 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. de la librería HTANDREE0484120

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Descripción Society for Industrial & Applied, 2004. Paperback. Estado de conservación: Brand New. illustrated edition. 104 pages. 9.50x6.75x0.25 inches. In Stock. Nº de ref. de la librería __0898715636

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Lee, Herbert K. H.
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Descripción SIAM: Society for Industrial a, 2004. Paperback. Estado de conservación: New. Never used!. Nº de ref. de la librería P110898715636

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