H
Hans-Georg Müller
Researcher at University of California, Davis
Publications - 335
Citations - 20820
Hans-Georg Müller is an academic researcher from University of California, Davis. The author has contributed to research in topics: Functional data analysis & Estimator. The author has an hindex of 65, co-authored 327 publications receiving 18248 citations. Previous affiliations of Hans-Georg Müller include University of Erlangen-Nuremberg & University of Marburg.
Papers
More filters
Journal ArticleDOI
Functional Data Analysis for Sparse Longitudinal Data
TL;DR: In this article, a nonparametric method is proposed to perform functional principal components analysis for sparse longitudinal data, where the repeated measurements are located randomly with a random number of repetitions for each subject and are determined by an underlying smooth random (subject-specific) trajectory plus measurement errors.
Journal ArticleDOI
Local Polynomial Modeling and Its Applications
Journal ArticleDOI
Functional Data Analysis
TL;DR: In this article, the authors provide an overview of FDA, starting with simple statistical notions such as mean and covariance functions, then covering some core techniques, the most popular of which is functional principal component analysis (FPCA).
Book ChapterDOI
Kernel estimation of regression functions
Theo Gasser,Hans-Georg Müller +1 more
TL;DR: For the nonparametric estimation of regression functions with a one-dimensional design parameter, a new kernel estimate is defined and shown to be superior to the one introduced by Priestley and Chao (1972) as discussed by the authors.
Journal ArticleDOI
Functional linear regression analysis for longitudinal data
TL;DR: In this article, a functional linear regression (FLR) method is proposed for sparse longitudinal data, where both the predictor and response are functions of a covariate such as time.