Lingzhou Xue
Associate Professor of Statistics

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318 Thomas
University Park, PA - lxx6@psu.edu
- 814-865-1290
Research Summary
High-dimensional statistics, statistical learning, optimization, econometrics, and statistical applications in biological science, environmental science, and social science.
Huck Affiliations
Links
Publication Tags
Covariance Matrix High Dimensional Testing Graphical Models Predictors Statistics Simulation Study Performance Data Analysis Gene Conditional Independence Sufficient Nonparametric Estimation Covariance Matrix Estimation Forecasting Discrete Data Factors Alternatives Time Series High Dimensional Data Methodology Regression Rate Of Convergence Additive Models Stiefel ManifoldMost Recent Publications
Inverse moment methods for sufficient forecasting using high-dimensional predictors
Wei Luo, Lingzhou Xue, Jiawei Yao, Xiufan Yu, 2022, Biometrika on p. 473-487
Estimating Finite Mixtures of Ordinal Graphical Models
Kevin H. Lee, Qian Chen, Wayne Desarbo, Lingzhou Xue, 2022, Psychometrika on p. 83-106
Improving neural network robustness through neighborhood preserving layers
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus, 2022, Image and Vision Computing on p. 104469
Fisher’s Combined Probability Test for High-Dimensional Covariance Matrices
Xiufan Yu, Danning Li, Lingzhou Xue, 2022, Journal of the American Statistical Association
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
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang, Shiqian Ma, Lingzhou Xue, 2022, Journal of Machine Learning Research
An Additive Graphical Model for Discrete Data
Jun Tao, Bing Li, Lingzhou Xue, 2022, Journal of the American Statistical Association
Nonparametric Estimation and Conformal Inference of the Sufficient Forecasting With a Diverging Number of Factors
Xiufan Yu, Jiawei Yao, Lingzhou Xue, 2022, Journal of Business and Economic Statistics on p. 342-354
Robust Covariance Matrix Estimation for High-Dimensional Compositional Data with Application to Sales Data Analysis
Danning Li, A Srinivasan, Qian Chen, Lingzhou Xue, 2022, Journal of Business and Economic Statistics
Identification of microbial features in multivariate regression under false discovery rate control
Arun Srinivasan, Lingzhou Xue, Xiang Zhan, 2022, Computational Statistics and Data Analysis