225 citations · 377 across the 4 of their papers we have counts for
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math.ST2019
Super-Consistent Estimation of Points of Impact in Nonparametric Regression with Functional Predictors
Dominik Poß, Dominik Liebl, Alois Kneip +3
Predicting scalar outcomes using functional predictors is a classic problem in functional data analysis. In many applications, however, only specific locations or time-points of th…
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…
math.ST2009★ 152 cited
Common functional principal components
Michal Benko, Wolfgang Härdle, Alois Kneip
Functional principal component analysis (FPCA) based on the Karhunen--Loève decomposition has been successfully applied in many applications, mainly for one sample problems. In thi…