Bayesian methods for nonlinear classification and regression
Auteur :
Denison, David G. T. / Holmes, Christopher C. / Mallick, Bani K. / Smith, Adrian F. M.
Éditeur :
John Wiley & Sons Inc
ISBN :
9780471490364
Date de publication :
27 mars 2002
Dimensions :
23,3 x 16,2 x 2,2 cm
Poids :
567 g
Langue :
Anglais
Pays d'origine :
USA
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.