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A jump-preserving curve fitting procedure based on localIt is known that the fitted regression function based on conventional local smoothing procedures is not statistically consistent at jump positions of the true regression function....

général - core.ac.uk - PDF: citeseerx.ist.psu.edu

Empirical performance of crossvalidation with the adaptive lasso in a genomics context... In problems where the true regression function is sparse and the signals large, such crossvalidation typically works well, with the Adaptive Lasso being an oracle method....

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Asymptotic optimality of a cross-validatory predictive approach to linear model selection... For a dependent variable and associatedexplanatory variables, we consider a class of linear models as approximationsto the true regression function....

PDF: arxiv.org

Semiparametric penalized spline regression... The overall shape of the true regression function is captured bythe parametric part, while its residual is consistently estimated by thenonparametric part....

PDF: arxiv.org

Probabilistic regression using basis function... The framework outputs a point specific estimate of the probability that the true regression surface lies between two user specified values, denoted by y 1 and y 2 ...

PDF: citeseerx.ist.psu.edu