225 citations · 377 across the 4 of their papers we have counts for
6 papers
A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters
Oualid Bada, Alois Kneip, Dominik Liebl +3
While a substantial literature on structural break change point analysis exists for univariate time series, research on large panel data models has not been as extensive. In this p…
Semiparametric inference for partially linear regressions with Box-Cox transformation
Daniel Becker, Alois Kneip, Valentin Patilea
In this paper, a semiparametric partially linear model in the spirit of Robinson (1988) with Box- Cox transformed dependent variable is studied. Transformation regression models ar…
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…
Cross-Component Registration for Multivariate Functional Data, With Application to Growth Curves
Cody Carroll, Hans-Georg Müller, Alois Kneip
Multivariate functional data are becoming ubiquitous with advances in modern technology and are substantially more complex than univariate functional data. We propose and study a n…
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…
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…