110 citations · 269 across the 19 of their papers we have counts for
5 papers · 1 filter
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…
Intrinsic Riemannian Functional Data Analysis for Sparse Longitudinal Observations
Lingxuan Shao, Zhenhua Lin, Fang Yao
A new framework is developed to intrinsically analyze sparsely observed Riemannian functional data. It features four innovative components: a frame-independent covariance function,…
High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data
Zhenhua Lin, Miles E. Lopes, Hans-Georg Müller
We propose a new approach to the problem of high-dimensional multivariate ANOVA via bootstrapping max statistics that involve the differences of sample mean vectors. The proposed m…
Mean and Covariance Estimation for Functional Snippets
Zhenhua Lin, Jane-Ling Wang
We consider estimation of mean and covariance functions of functional snippets, which are short segments of functions possibly observed irregularly on an individual specific subint…
Wasserstein Regression
Yaqing Chen, Zhenhua Lin, Hans-Georg Müller
The analysis of samples of random objects that do not lie in a vector space is gaining increasing attention in statistics. An important class of such object data is univariate prob…