Showing 21 - 30 of 226
The main problem with localized discriminant techniques is the curse of dimensionality, which seems to restrict their use to the case of few variables. This restriction does not hold if localization is combined with a reduction of dimension. In particular it is shown that localization yields...
Persistent link: https://www.econbiz.de/10010266137
The use of generalized additive models in statistical data analysis suffers from the restriction to few explanatory variables and the problems of selection of smoothing parameters. Generalized additive model boosting circumvents these problems by means of stagewise fitting of weak learners. A...
Persistent link: https://www.econbiz.de/10010266217
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques. In the direct approach the ridge estimator is used to fit...
Persistent link: https://www.econbiz.de/10010266233
The use of generalized additive models in statistical data analysis suffers from the restriction to few explanatory variables and the problems of selection of smoothing parameters. Generalized additive model boosting circumvents these problems by means of stagewise fitting of weak learners. A...
Persistent link: https://www.econbiz.de/10002638739
The main problem with localized discriminant techniques is the curse of dimensionality, which seems to restrict their use to the case of few variables. This restriction does not hold if localization is combined with a reduction of dimension. In particular it is shown that localization yields...
Persistent link: https://www.econbiz.de/10002719913
Persistent link: https://www.econbiz.de/10003401384
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques. In the direct approach the ridge estimator is used to fit...
Persistent link: https://www.econbiz.de/10003365421
Persistent link: https://www.econbiz.de/10001744438
Im Rahmen einer Simulationsstudie werden der Tetrad-Test, das Anpassen eines faktorenanalytischen Messmodels und das Anpassen eines vollständigen Strukturgleichungsmodells verglichen. Es zeigt sich, dass die ersten beiden Verfahren in verschiedenartigen Simulationsszenarien zu ähnlichen...
Persistent link: https://www.econbiz.de/10005851803
Persistent link: https://www.econbiz.de/10010847593