activity
20052016
most citedSmoothing splines estimators for functional linear regression

225 citations · 331 across the 7 of their papers we have counts for

collaborators

7 papers

math.ST2016★ 40 cited

Functional linear regression with points of impact

Alois Kneip, Dominik Poß, Pascal Sarda

The paper considers functional linear regression, where scalar responses are modeled in dependence of i.i.d. random functions . We study a generali…

math.ST2012★ 57 cited

Factor models and variable selection in high-dimensional regression analysis

Alois Kneip, Pascal Sarda

The paper considers linear regression problems where the number of predictor variables is possibly larger than the sample size. The basic motivation of the study is to combine the…

math.ST2009★ 225 cited

Smoothing splines estimators for functional linear regression

Christophe Crambes, Alois Kneip, Pascal Sarda

The paper considers functional linear regression, where scalar responses are modeled in dependence of random functions . We propose a smoothing splines e…

stat.AP2007

Modélisations prospectives de l'occupation du sol. Le cas d'une montagne méditerranéenne

Martin Paegelow, Nathalie Villa, Laurence Cornez +3

The authors apply three methods of prospective modelling to high resolution georeferenced land cover data in a Mediterranean mountain area: GIS approach, non linear parametric mode…

stat.AP2007★ 9 cited

Various Approaches for Predicting Land Cover in Mountain Areas

Nathalie Villa, Martin Paegelow, Maria T. Camacho Olmedo +4

Using former maps, geographers intend to study the evolution of the land cover in order to have a prospective approach on the future landscape; predictions of the future land cover…

math.ST2007

Quantile regression when the covariates are functions

Hervé Cardot, Christophe Crambes, Pascal Sarda

This paper deals with a linear model of regression on quantiles when the explanatory variable takes values in some functional space and the response is scalar. We propose a spline…