596 citations · 1.1k across the 19 of their papers we have counts for
19 papers
Sliced Wasserstein Regression
Han Chen, Yidong Zhou, Hans-Georg Müller
While statistical modeling of distributional data has gained increased attention, the case of multivariate distributions has been somewhat neglected despite its relevance in variou…
Dynamic Modeling of Sparse Longitudinal Data and Functional Snippets With Stochastic Differential Equations
Yidong Zhou, Hans-Georg Müller
Sparse functional/longitudinal data have attracted widespread interest due to the prevalence of such data in social and life sciences. A prominent scenario where such data are rout…
Spherical Autoregressive Models, With Application to Distributional and Compositional Time Series
Changbo Zhu, Hans-Georg Müller
We introduce a new class of autoregressive models for spherical time series, where the dimension of the spheres on which the observations of the time series are situated may be fin…
Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups
Zhenhua Lin, Hans-Georg Müller, Byeong U. Park
In this paper an additive regression model for a symmetric positive-definite matrix valued response and multiple scalar predictors is proposed. The model exploits the abelian group…
Modeling Longitudinal Data on Riemannian Manifolds
Xiongtao Dai, Zhenhua Lin, Hans-Georg Müller
When considering functional principal component analysis for sparsely observed longitudinal data that take values on a nonlinear manifold, a major challenge is how to handle the sp…
Associating Growth in Infancy and Cognitive Performance in Early Childhood: A functional data analysis approach
Pantelis Z. Hadjipantelis, Kyunghee Han, Jane-Ling Wang +5
Physical growth traits can be naturally represented by continuous functions. In a large dataset of infancy growth patterns, we develop a practical approach to infer statistical ass…