Kean Ming Tan

Also affiliated with University of Michigan

MathematicsComputer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Smoothed quantile regression with large-scale inference”.

Smoothed quantile regression with large-scale inference

Journal of Econometrics(2021)10.1016/j.jeconom.2021.07.010

N/A

0.730DataRank · unranked

129 citations

Xiaoou Pan, Kean Ming Tan, Wen‐Xin Zhou, Xuming He

Local uncertainty sampling for large-scale multiclass logistic regression

The Annals of Statistics(2020)10.1214/19-aos1867

N/A

0DataRank · unranked

31 citations

Kean Ming Tan, Ting Yang, Tong Zhang, Lei Han

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

Biometrics(2020)10.1111/biom.13297

N/A

0DataRank · unranked

1 citations

Junwei Lu, Tong Zhang, Han Liu, Kean Ming Tan

High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2021)10.1111/rssb.12485

N/A

0DataRank · unranked

74 citations

Lan Wang, Wen‐Xin Zhou, Kean Ming Tan

Sparse Reduced Rank Huber Regression in High Dimensions

Journal of the American Statistical Association(2022)10.1080/01621459.2022.2050243

N/A

0DataRank · unranked

18 citations

Qiang Sun, Daniela Witten, Kean Ming Tan

High-Dimensional Expected Shortfall Regression

arXiv (Cornell University)(2023)10.48550/arxiv.2307.02695

N/A

0DataRank · unranked

0 citations

Xuming He, Kean Ming Tan, Wen‐Xin Zhou, Shushu Zhang