Authors:J.K. Ghosh, R.V. Ramamoorthi,
Publisher: Springer
Keywords: nonparametrics, bayesian
Number of Pages: 304
Published: 2003-04-08
List price: $104.00
ISBN-10: 0387955372
ISBN-13: 9780387955377

Bayesian nonparametrics has grown tremendously in the last three decades, especially in the last few years. This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonparametric methods of classical statistics. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian nonpar

Author: Herbert K. H. Lee
Publisher: SIAM: Society for Industrial and Applied Mathematics
Keywords: series, statistics, applied, probability, siam, asa, nonparametrics, via, neural, networks, baysian
Number of Pages: 104
Published: 2004-06
List price: $49.50
ISBN-10: 0898715636
ISBN-13: 9780898715637

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 u

Authors:Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G
Publisher: Cambridge University Press
Keywords: probabilistic, mathematics, statistical, series, nonparametrics, cambridge, bayesian
Number of Pages: 312
Published: 2010-04-12
List price: $59.00
ISBN-10: 0521513464
ISBN-13: 9780521513463

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 c

Author: Subir Ghosh
Publisher: CRC Press
Keywords: series, textbooks, monographs, statistics, asymptotics, time, nonparametrics
Number of Pages: 854
Published: 1999-02-18
List price: $309.95
ISBN-10: 0824700511
ISBN-13: 9780824700515

"Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."

Authors:John Charles Wi Rayner, D. John Best, Per Bruun Broc
Publisher: Wiley-Blackwell
Keywords: approach, informative, science, sensory, nonparametrics
Number of Pages: 175
Published: 2005-05-09
List price: $199.95
ISBN-10: 0813811120
ISBN-13: 9780813811123

Sensory evaluation is the perception science of the food industry. Sensory data can be costly to obtain and so gleaning the most information possible from the data is key. Increasingly, value is added to sensory evaluation by the use of statistics, especially to improve the quality of product development and to make the most of market research. Nonparametrics for Sensory Science is written to complement existing parametric methodology. Nonparametric methods are appropriate when facts are only available in nominal or ordinal form, and when the model assumptions necessary for parametric procedur