Lexin Li

Lexin Li

University of California, Berkeley

H-index: 38

North America-United States

About Lexin Li

Lexin Li, With an exceptional h-index of 38 and a recent h-index of 28 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of neuroimaging analysis, networks analysis, recommendation system, high dimensional regression, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Functional Directed Acyclic Graphs

Post-Regularization Confidence Bands for Ordinary Differential Equations

High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis

Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making

Testing directed acyclic graph via structural, supervised and generative adversarial learning

Sequential Best-Arm Identification with Application to Brain-Computer Interface

Partially observed dynamic tensor response regression

Orthogonalized kernel debiased machine learning for multimodal data analysis

Lexin Li Information

University

Position

Professor of Biostatistics

Citations(all)

6770

Citations(since 2020)

3398

Cited By

4946

hIndex(all)

38

hIndex(since 2020)

28

i10Index(all)

70

i10Index(since 2020)

61

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Lexin Li Skills & Research Interests

neuroimaging analysis

networks analysis

recommendation system

high dimensional regression

machine learning

Top articles of Lexin Li

Title

Journal

Author(s)

Publication Date

Functional Directed Acyclic Graphs

Journal of Machine Learning Research

Kuang-Yao Lee

Lexin Li

Bing Li

2024

Post-Regularization Confidence Bands for Ordinary Differential Equations

Journal of Machine Learning Research

Xiaowu Dai

Lexin Li

2024

High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis

Biometrics

Xiang Lyu

Jian Kang

Lexin Li

2024/6

Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making

Journal of Mathematical Psychology

Jing-Jing Li

Chengchun Shi

Lexin Li

Anne GE Collins

2024/4/1

Testing directed acyclic graph via structural, supervised and generative adversarial learning

Journal of the American Statistical Association

Chengchun Shi

Yunzhe Zhou

Lexin Li

2023/7/10

Sequential Best-Arm Identification with Application to Brain-Computer Interface

arXiv preprint arXiv:2305.11908

Xin Zhou

Botao Hao

Jian Kang

Tor Lattimore

Lexin Li

2023/5/17

Partially observed dynamic tensor response regression

Journal of the American Statistical Association

Jie Zhou

Will Wei Sun

Jingfei Zhang

Lexin Li

2023/1/2

Orthogonalized kernel debiased machine learning for multimodal data analysis

Journal of the American Statistical Association

Xiaowu Dai

Lexin Li

2023/7/3

Optimizing pessimism in dynamic treatment regimes: A bayesian learning approach

Yunzhe Zhou

Zhengling Qi

Chengchun Shi

Lexin Li

2023/4/11

A generalized method for dynamic noise inference in modeling sequential decision-making

Proceedings of the Annual Meeting of the Cognitive Science Society

Jing-Jing Li

Chengchun Shi

Lexin Li

Anne GE Collins

2023

Nonparametric functional graphical modeling through functional additive regression operator

Journal of the American Statistical Association

Kuang-Yao Lee

Lexin Li

Bing Li

Hongyu Zhao

2023/7/3

Estimation and Inference for High-dimensional Multi-response Growth Curve Model

arXiv preprint arXiv:2312.16769

Xin Zhou

Yin Xia

Lexin Li

2023/12/28

Multivariate temporal point process regression

Journal of the American Statistical Association

Xiwei Tang

Lexin Li

2023/4/3

Multivariate dynamic mediation analysis under a reinforcement learning framework

arXiv preprint arXiv:2310.16203

Lan Luo

Chengchun Shi

Jitao Wang

Zhenke Wu

Lexin Li

2023/10/24

Kernel knockoffs selection for nonparametric additive models

Journal of the American Statistical Association. Accepted.

Xiaowu Dai

Xiang Lyu

Lexin Li

2021

Generalized connectivity matrix response regression with applications in brain connectivity studies

Journal of Computational and Graphical Statistics

Jingfei Zhang

Will Wei Sun

Lexin Li

2023/1/2

Testing for the Markov property in time series via deep conditional generative learning

Journal of the Royal Statistical Society Series B: Statistical Methodology

Yunzhe Zhou

Chengchun Shi

Lexin Li

Qiwei Yao

2023/9

Generalized liquid association analysis for multimodal data integration

Journal of the American Statistical Association

Lexin Li

Jing Zeng

Xin Zhang

2023/7/3

Conditional functional graphical models

Journal of the American Statistical Association

Kuang-Yao Lee

Dingjue Ji

Lexin Li

Todd Constable

Hongyu Zhao

2023/1/2

Integrative factor regression and its inference for multimodal data analysis

Journal of the American Statistical Association

Quefeng Li

Lexin Li

2022/10/2

See List of Professors in Lexin Li University(University of California, Berkeley)