720 citations · 1.5k across the 26 of their papers we have counts for
3 papers · 2 filters
Properties of principal component methods for functional and longitudinal data analysis
Peter Hall, Hans-Georg Müller, Jane-Ling Wang
The use of principal component methods to analyze functional data is appropriate in a wide range of different settings. In studies of ``functional data analysis,'' it has often bee…
Inference for covariate adjusted regression via varying coefficient models
Damla Şentürk, Hans-Georg Müller
We consider covariate adjusted regression (CAR), a regression method for situations where predictors and response are observed after being distorted by a multiplicative factor. The…
Functional linear regression analysis for longitudinal data
Fang Yao, Hans-Georg Müller, Jane-Ling Wang
We propose nonparametric methods for functional linear regression which are designed for sparse longitudinal data, where both the predictor and response are functions of a covariat…