Lingzhou Xue
Professor of Statistics
-
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.
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Platelets High Dimensional Predictors Sufficient Forecasting Covariance Matrix Model Factors Ligands Performance Quantile Regression Simulation Study Data Analysis Network Model Testing Covariance Matrix Estimation Random Graphs Latent Variables Leucine Gene Graph Model Exponential Family Nonparametric Estimation Agglomeration OptimalityMost Recent Publications
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
Power enhancement for testing multi-factor asset pricing models via Fisher's method
Xiufan Yu, Jiawei Yao, Lingzhou Xue, 2023, Journal of Econometrics
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
Robust Covariance Matrix Estimation for High-Dimensional Compositional Data with Application to Sales Data Analysis
D Li, Arun Srinivasan, Qian Chen, Lingzhou Xue, 2022, Journal of Business and Economic Statistics on p. 1--11
Estimating Finite Mixtures of Ordinal Graphical Models
Kevin Lee, Qian Chen, W Desarbo, Lingzhou Xue, 2022, Psychometrika on p. 83--106
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
Improving neural network robustness through neighborhood preserving layers
Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus, 2022, Image and Vision Computing on p. 104469
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang, Shiqian Ma, Lingzhou Xue, 2022, Journal of Machine Learning Research
Model-based clustering of semiparametric temporal exponential-family random graph models
Kevin H. Lee, Amal Agarwal, Anna Y. Zhang, Lingzhou Xue, 2022, Stat on p. e459
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
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 Selective Overview of Sparse Principal Component Analysis
Hui Zou, Lingzhou Xue, 2018, Proceedings of the Institute of Radio Engineers on p. 1311-1320
A review of dynamic network models with latent variables
B Kim, K Lee, Lingzhou Xue, Xiaoyue Niu, 2018, Statistics Surveys on p. 105–135
Alternating direction methods for latent variable gaussian graphical model selection
Shiqian Ma, Lingzhou Xue, Hui Zou, 2013, Neural Computation on p. 2172-2198
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