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CSDA
2006
117views more  CSDA 2006»
13 years 9 months ago
GACV for quantile smoothing splines
Quantile smoothing splines provide nonparametric estimation of conditional quantile functions. Like other nonparametric smoothing techniques, the choice of smoothing parameters co...
Ming Yuan
CSDA
2006
85views more  CSDA 2006»
13 years 9 months ago
Fast and compact smoothing on large multidimensional grids
A framework of penalized generalized linear models and tensor products of B-splines with roughness penalties allows effective smoothing of data in multidimensional arrays. A strai...
Paul H. C. Eilers, Iain D. Currie, María Du...
CSDA
2006
87views more  CSDA 2006»
13 years 9 months ago
Choice of B-splines with free parameters in the flexible discriminant analysis context
Flexible discriminant analysis (FDA) is a general methodology which aims at providing tools for multigroup non linear classification. It consists in a nonparametric version of dis...
Christelle Reynès, Robert Sabatier, Nicolas...
CSDA
2006
95views more  CSDA 2006»
13 years 9 months ago
Identifying influential multinomial observations by perturbation
The assessment of the influence of individual observations on the outcome of the analysis by perturbation has received a lot of attention for situations in which the observations ...
S. O. Nyangoma, W.-K. Fung, R. C. Jansen
CSDA
2006
83views more  CSDA 2006»
13 years 9 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...