Kean Ming Tan

Kean Ming Tan

University of Michigan

H-index: 18

North America-United States

About Kean Ming Tan

Kean Ming Tan, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Quantile Regression - Graphical Models - Model Selection - High-Dimensional Data - Clustering - Generalized Eigenvalue Problem.

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

Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness

Retire: Robust expectile regression in high dimensions

Estimation of complier expected shortfall treatment effects with a binary instrumental variable

A unified algorithm for penalized convolution smoothed quantile regression

Sparse reduced rank Huber regression in high dimensions

Robust estimation and inference for expected shortfall regression with many regressors

High-Dimensional Expected Shortfall Regression

Smoothed quantile regression with large-scale inference

Kean Ming Tan Information

University

Position

Department of Statistics

Citations(all)

1201

Citations(since 2020)

812

Cited By

703

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Kean Ming Tan Skills & Research Interests

Quantile Regression - Graphical Models - Model Selection - High-Dimensional Data - Clustering - Generalized Eigenvalue Problem

Top articles of Kean Ming Tan

Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness

arXiv preprint arXiv:2404.16745

2024/4/25

Retire: Robust expectile regression in high dimensions

Journal of Econometrics

2024/2/1

Kean Ming Tan
Kean Ming Tan

H-Index: 12

Wen-Xin Zhou
Wen-Xin Zhou

H-Index: 14

Estimation of complier expected shortfall treatment effects with a binary instrumental variable

Journal of Econometrics

2024/1/1

Bo Wei
Bo Wei

H-Index: 5

Kean Ming Tan
Kean Ming Tan

H-Index: 12

Xuming He
Xuming He

H-Index: 35

A unified algorithm for penalized convolution smoothed quantile regression

Journal of Computational and Graphical Statistics

2023/12/20

Sparse reduced rank Huber regression in high dimensions

Journal of the American Statistical Association

2023/10/2

Robust estimation and inference for expected shortfall regression with many regressors

Journal of the Royal Statistical Society Series B: Statistical Methodology

2023/9

High-Dimensional Expected Shortfall Regression

arXiv preprint arXiv:2307.02695

2023/7/5

Smoothed quantile regression with large-scale inference

Journal of Econometrics

2023/2/1

High-dimensional inference for generalized linear models with hidden confounding

The Journal of Machine Learning Research

2023/1/1

Scalable estimation and inference for censored quantile regression process

2022/10

High-dimensional quantile regression: Convolution smoothing and concave regularization

Journal of the Royal Statistical Society Series B: Statistical Methodology

2022/2

Communication-constrained distributed quantile regression with optimal statistical guarantees

Journal of Machine Learning Research

2022

Kean Ming Tan
Kean Ming Tan

H-Index: 12

Wen-Xin Zhou
Wen-Xin Zhou

H-Index: 14

Estimating and inferring the maximum degree of stimulus-locked time-varying brain connectivity networks

Biometrics

2021/6

Model linkage selection for cooperative learning

Journal of Machine Learning Research

2021

Jie Ding
Jie Ding

H-Index: 9

Kean Ming Tan
Kean Ming Tan

H-Index: 12

Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data

arXiv preprint arXiv:2012.05158

2020/12/9

Yang Ning
Yang Ning

H-Index: 16

Kean Ming Tan
Kean Ming Tan

H-Index: 12

Local uncertainty sampling for large-scale multiclass logistic regression

2020/6/1

Transformation of speech sequences in human sensorimotor circuits

Proceedings of the National Academy of Sciences

2020/2/11

Kevin Himberger
Kevin Himberger

H-Index: 14

Kean Ming Tan
Kean Ming Tan

H-Index: 12

See List of Professors in Kean Ming Tan University(University of Michigan)

Co-Authors

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