Z. Lin

发表

Estimating Truncated Functional Linear Models With a Nested Group Bridge Approach

Jiguo Cao, Zhenhua Lin, Tianyu Guan, 2020, Journal of Computational and Graphical Statistics.

High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data

Miles E. Lopes, H. Müller, Zhenhua Lin, 2020, Journal of the American Statistical Association.

Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition

Zhenhua Lin, Z. Lin, 2019, SIAM J. Matrix Anal. Appl..

Wasserstein Regression

H. Müller, H. Muller, Zhenhua Lin, 2020, Journal of the American Statistical Association.

Modeling sparse longitudinal data on Riemannian manifolds

H. Müller, Zhenhua Lin, Xiongtao Dai, 2020, Biometrics.

Basis expansions for functional snippets

Jane-ling Wang, Zhenhua Lin, Qixian Zhong, 2019, Biometrika.

Intrinsic Riemannian functional data analysis

F. Yao, Zhenhua Lin, Z. Lin, 2018, The Annals of Statistics.

Mixture inner product spaces and their application to functional data analysis

Zhenhua Lin, Fang Yao, Hans-Georg Müller, 2018 .

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, 2018 .

Locally Sparse Estimator for Functional Linear Regression Models

Liangliang Wang, Haonan Wang, Jiguo Cao, 2017 .

Mining discriminative items in multiple data streams

Bin Jiang, Jian Pei, Zhenhua Lin, 2010, World Wide Web.

Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups

B. Park, H. Muller, Zhenhua Lin, 2020, 2009.08789.

Sparse functional partial least squares regression with a locally sparse slope function

Jiguo Cao, Tianyu Guan, K. Groves, 2022, Stat. Comput..

Mean and Covariance Estimation for Functional Snippets

Jane-ling Wang, Zhenhua Lin, Z. Lin, 2020, Journal of the American Statistical Association.

Analytic Basis Expansions for Functional Snippets

Jane-ling Wang, Zhenhua Lin, Qixian Zhong, 2019 .

Functional regression on the manifold with contamination

F. Yao, Zhenhua Lin, Z. Lin, 2017 .

Total variation regularized Fréchet regression for metric-space valued data

H. Muller, Z. Lin, Hans-Georg Muller, 2019, The Annals of Statistics.

Interpretable functional principal component analysis

Jiguo Cao, Zhenhua Lin, Liangliang Wang, 2016, Biometrics.

MFPCA: Multiscale Functional Principal Component Analysis

Hongtu Zhu, Zhenhua Lin, Hongtu Zhu, 2019, AAAI.

Intrinsic Wasserstein Correlation Analysis

Zhenhua Lin, Fang Yao, Hang Zhou, 2021, 2105.15000.

Mixture inner product spaces and their application to functional data analysis

H. Müller, Z. Lin, Fang Yao, 2018 .

Some perspectives of smooth and locally sparse estimators

Zhenhua Lin, Z. Lin, Zhenhua Lin, 2013 .

Wasserstein Regression these are either Nadaraya – Watson type estimators that suffer from a severe curse of dimensionality

H. Müller, Yaqing Chen, Z. Lin, 2021 .

RODUCT S PACES AND T HEIR A PPLICATION TO F UNCTIONAL D ATA A NALYSIS

H. Müller, F. Yao, Zhenhua Lin, 2017 .

Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates Under Weak Variance Decay and Application to Functional Data Analysis

Miles E. Lopes, Zhenhua Lin, Hans-Georg Mueller, 2018, 1807.04429.

Intrinsic Riemannian functional data analysis for sparse longitudinal observations

F. Yao, Zhenhua Lin, Lingxuan Shao, 2020, The Annals of Statistics.

Modeling Symmetric Positive Definite Matrices with An Application to Functional Brain Connectivity

Qiang Sun, Zhenhua Lin, Dehan Kong, 2019, 1907.03385.

Modeling Longitudinal Data on Riemannian Manifolds

H. Muller, Xiongtao Dai, Z. Lin, 2018, 1812.04774.

Causal Inference on Non-linear Spaces: Distribution Functions and Beyond

Zhenhua Lin, Linbo Wang, Dehan Kong, 2021 .

Optimal One-pass Nonparametric Estimation Under Memory Constraint

Zhenhua Lin, Mingxue Quan, Z. Lin, 2022, Journal of the American Statistical Association.

Causal inference on distribution functions

Zhenhua Lin, Linbo Wang, Dehan Kong, 2021, Journal of the Royal Statistical Society Series B: Statistical Methodology.

Sparse functional partial least squares regression with a locally sparse slope function

Jiguo Cao, Zhenhua Lin, Tianyu Guan, 2022, Statistics and Computing.

Estimating Historical Functional Linear Models with a Nested Group Bridge Approach

Jiguo Cao, Zhenhua Lin, Tianyu Guan, 2018, 1809.05091.

A Unified Approach to Hypothesis Testing for Functional Linear Models

Zhenhua Lin, Yi Lin, Z. Lin, 2021, 2109.02309.

A Smooth and Locally Sparse Estimator for Functional Linear Regression via Functional SCAD Penalty

Liangliang Wang, Haonan Wang, Jiguo Cao, 2015, 1510.08547.