110 citations · 269 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
Intrinsic Riemannian Functional Data Analysis
Zhenhua Lin, Fang Yao
In this work we develop a novel and foundational framework for analyzing general Riemannian functional data, in particular a new development of tensor Hilbert spaces along curves o…
Estimating Historical Functional Linear Models with a Nested Group Bridge Approach
Tianyu Guan, Zhenhua Lin, Jiguo Cao
We study a scalar-on-function historical linear regression model which assumes that the functional predictor does not influence the response when the time passes a certain cutoff p…
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates Under Weak Variance Decay and Application to Functional and Multinomial Data
Miles E. Lopes, Zhenhua Lin, Hans-Georg Mueller
In recent years, bootstrap methods have drawn attention for their ability to approximate the laws of "max statistics" in high-dimensional problems. A leading example of such a stat…