Lingzhou Xue

Professor of Statistics

Lingzhou Xue

Research Summary

High-dimensional statistics, statistical learning, optimization, econometrics, and statistical applications in biological science, environmental science, and social science.

Huck Affiliations

Links

Most Recent Publications

Nonlinear sufficient dimension reduction for distribution-on-distribution regression

Qi Zhang, Bing Li, Lingzhou Xue, 2024, Journal of Multivariate Analysis

Power enhancement for testing multi-factor asset pricing models via Fisher's method

Xiufan Yu, Jiawei Yao, Lingzhou Xue, 2024, Journal of Econometrics

Sparse kernel sufficient dimension reduction

Bingyuan Liu, Lingzhou Xue, 2024, Journal of Nonparametric Statistics

A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval

Zhong Zheng, Shiqian Ma, Lingzhou Xue, 2024, IRE Transactions on Audio on p. 1081-1093

Robust High-Dimensional Regression with Coefficient Thresholding and Its Application to Imaging Data Analysis

Bingyuan Liu, Qi Zhang, Lingzhou Xue, Peter X.K. Song, Jian Kang, 2024, Journal of the American Statistical Association on p. 715-729

Fisher’s Combined Probability Test for High-Dimensional Covariance Matrices

Xiufan Yu, Danning Li, Lingzhou Xue, 2024, Journal of the American Statistical Association on p. 511-524

ROBUST SHAPE MATRIX ESTIMATION FOR HIGH-DIMENSIONAL COMPOSITIONAL DATA WITH APPLICATION TO MICROBIAL INTER-TAXA ANALYSIS

Danning Li, Arun Srinivasan, Lingzhou Xue, Xiang Zhan, 2023, Statistica Sinica on p. 1577-1602

Dimension Reduction for Fréchet Regression

Qi Zhang, Lingzhou Xue, Bing Li, 2023, Journal of the American Statistical Association

Inverse moment methods for sufficient forecasting using high-dimensional predictors

Wei Luo, Lingzhou Xue, Jiawei Yao, Xiufan Yu, 2022, Biometrika on p. 473-487

Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing

Xiufan Yu, D Li, Lingzhou Xue, Runze Li, 2022, Journal of the American Statistical Association

Most-Cited Papers

Strong oracle optimality of folded concave penalized estimation

Jianqing Fan, Lingzhou Xue, Hui Zou, 2014, Annals of Statistics on p. 819-849

A Selective Overview of Sparse Principal Component Analysis

Hui Zou, Lingzhou Xue, 2018, Proceedings of the Institute of Radio Engineers on p. 1311-1320

An integrin α<sub>IIb</sub>β<sub>3</sub> intermediate affinity state mediates biomechanical platelet aggregation

Yunfeng Chen, Lining Arnold Ju, Fangyuan Zhou, Jiexi Liao, Lingzhou Xue, Qian Peter Su, Dayong Jin, Yuping Yuan, Hang Lu, Shaun P. Jackson, Cheng Zhu, 2019, Nature Materials on p. 760-769

A review of dynamic network models with latent variables

B Kim, K Lee, Lingzhou Xue, Xiaoyue Niu, 2018, Statistics Surveys on p. 105–135

Cooperative unfolding of distinctive mechanoreceptor domains transduces force into signals

Lining Ju, Yunfeng Chen, Lingzhou Xue, Xiaoping Du, Cheng Zhu, 2016, eLife

Sufficient forecasting using factor models

Jianqing Fan, Lingzhou Xue, Jiawei Yao, 2017, Journal of Econometrics on p. 292-306

A small-sample kernel association test for correlated data with application to microbiome association studies

Xiang Zhan, Lingzhou Xue, Haotian Zheng, Anna Plantinga, Michael C. Wu, Daniel J. Schaid, Ni Zhao, Jun Chen, 2018, Genetic Epidemiology on p. 772-782

Multitask Quantile Regression Under the Transnormal Model

Jianqing Fan, Lingzhou Xue, Hui Zou, 2016, Journal of the American Statistical Association on p. 1726-1735

A statistical investigation of the dependence of tropical cyclone intensity change on the surrounding environment

Ning Lin, Renzhi Jing, Yuyan Wang, Emmi Yonekura, Jianqing Fan, Lingzhou Xue, 2017, Monthly Weather Review on p. 2813-2831

Detecting the effects of coal mining, acid rain, and natural gas extraction in Appalachian basin streams in Pennsylvania (USA) through analysis of barium and sulfate concentrations

Xianzeng Niu, Anna Wendt, Zhenhui Li, Amal Agarwal, Lingzhou Xue, Matthew Gonzales, Susan L. Brantley, 2018, Minerals and the Environment on p. 865-885