Zhenhua Lin

发表

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 .

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.

Total Variation Regularized Fréchet Regression for Metric-Space Valued Data

H. Muller, Zhenhua Lin, 2019, 1904.09647.

Mixture inner product spaces and their application to functional data analysis

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

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

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

Functional Regression with Unknown Manifold Structures

F. Yao, Zhenhua Lin, 2017, 1704.03005.

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

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

Supplementary material for the manuscript entitled “ Interpretable Functional Principal Component Analysis ”

Liangliang Wang, Jiguo Cao, Zhenhua Lin, 2015 .

Locally Sparse Estimator for Functional Linear Regression Models

Liangliang Wang, Haonan Wang, Jiguo Cao, 2017 .

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

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

Some perspectives of smooth and locally sparse estimators

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

Estimating Historical Functional Linear Models with a Nested Group Bridge Approach

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

Basis expansions for functional snippets

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

Analytic Basis Expansions for Functional Snippets

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

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.

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

Zhenhua Lin, Linbo Wang, Dehan Kong, 2021 .

Intrinsic Riemannian functional data analysis for sparse longitudinal observations

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

Modeling sparse longitudinal data on Riemannian manifolds

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

Mean and Covariance Estimation for Functional Snippets

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

Optimal One-pass Nonparametric Estimation Under Memory Constraint

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

Intrinsic Riemannian functional data analysis

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

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

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

Causal inference on distribution functions

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

Mining discriminative items in multiple data streams

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

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

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

Estimating Truncated Functional Linear Models With a Nested Group Bridge Approach

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

Wasserstein Regression

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

Functional regression on the manifold with contamination

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

A Unified Approach to Hypothesis Testing for Functional Linear Models

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

Logistic Regression and Classification with non-Euclidean Covariates

Zhenhua Lin, Yi-Qi Lin, 2023, 2302.11746.