Bayesian Methods for Nonlinear Classification and Regression

Adrian F. M. (Queen Mary, University of London, UK) Smith, Bani K. (Texas A&M University) Mallick, Christopher C. (Imperial College of Science, Technology and Medicine, UK) Holmes, David G. T. (Imperial College of Science, Technology and Medicine, UK) Denison

John Wiley & Sons Inc, 2002

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Regression analysis models the relationship between a set of responses and another variable: for example, to estimate the true position of a line through a number of observed points. Unfortunately, data rarely conforms to simple curves and straight lines - parametric models - and this text examines more complex - or nonparametric - models.

ISBN-13
9780471490364
ISBN-10
0471490369
Publisher
John Wiley & Sons Inc
Year
2002
Publication date
2002-03-27
Pages
296
Dimensions
167x241x22
Weight
572