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CSDA
2007
75views more  CSDA 2007»
13 years 9 months ago
Robust counterparts of errors-in-variables problems
Of interest here are linear data fitting problems with uncertain data which lie in a given uncertainty set. A robust counterpart of such a problem may be interpreted as the probl...
G. A. Watson
CSDA
2007
128views more  CSDA 2007»
13 years 9 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
CSDA
2007
142views more  CSDA 2007»
13 years 9 months ago
DIVCLUS-T: A monothetic divisive hierarchical clustering method
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
Marie Chavent, Yves Lechevallier, Olivier Briant
CSDA
2004
81views more  CSDA 2004»
13 years 9 months ago
A note on split selection bias in classification trees
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
Y.-S. Shih
CSDA
2004
77views more  CSDA 2004»
13 years 9 months ago
Variable selection bias in regression trees with constant fits
The greedy search approach to variable selection in regression trees with constant fits is considered. At each node, the method usually compares the maximally selected statistic a...
Yu-Shan Shih, Hsin-Wen Tsai