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CSDA
2010
117views more  CSDA 2010»
13 years 7 months ago
Penalized spline estimation for functional coefficient regression models
Yanrong Cao, Haiqun Lin, Tracy Z. Wu, Yan Yu
CSDA
2007
117views more  CSDA 2007»
13 years 7 months ago
Smoothing splines estimators in functional linear regression with errors-in-variables
The Total Least Squares method is generalized in the context of the functional linear model. A smoothing splines estimator of the functional coefficient of the model is first prop...
Hervé Cardot, Christophe Crambes, Alois Kne...
CSDA
2006
145views more  CSDA 2006»
13 years 7 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin
ESANN
2004
13 years 9 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
CORR
2010
Springer
159views Education» more  CORR 2010»
13 years 7 months ago
Outlier Detection Using Nonconvex Penalized Regression
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
Yiyuan She, Art B. Owen