University of Southern California

Wenguang Sun
Associate Professor of Data Sciences and Operations

USC Marshall School of Business
Los Angeles, CA 90089-0808

Phone: 
213-740-0172
Education: 
PhD, University of Pennsylvania; BS, Peking University

Overview

Wenguang Sun is a statistician whose research interests include large-scale multiple testing, high-dimensional inference, statistical decision theory, and causal inference. His research has been published in leading statistical journals including Journal of the American Statistical Association and Journal of the Royal Statistical Society, Series B. Professor has won several research awards including the ENAR Distinguished Student Paper Award and Saul Winegrad Dissertation Award from University of Pennsylvania. He received a grant from the National Science Foundation on large-scale multiple testing. Prior to joining USC, he was a faculty member at the Department of Statistics at North Carolina State University.

Research

Cai, T., Sun, W., and Wang, W. (2016) "CARS: a covariate-assisted approach to large-scale two-sample inference with sparse means,".
Basu, P., Cai, T., Sun, W., and Das, K. (2016) "False discovery rate control for weighted multiple hypothesis testing,".
Wang, W., and Sun, W. (2016) "SMART: multi-stage adaptive testing for sparse signal recovery.,".
Cai, T., and Sun, W. (2016) "Optimal Screening of Sparse Signals, with Applications to Multistage High-throughput Studies," Journal of the Royal Statistical Society, Series B.
Cai, T., and Sun, W. (2016) "Large-Scale Global and Simultaneous Inference: Estimation and Testing in Very High Dimensions," Annual Review of Economics, 9.
Feng, T., Basu, P., Sun, W., and Mack, W. (2015) "Control of false discovery rate and optimal design for high-throughput screening.,".
Sun, W., and Wei, Z. (2015) "Hierarchical recognition of sparse patterns in large-scale simultaneous inference.," Biometrika, 102, 267-280.
Sun, W., Reich, B., Cai, T., Guidani, M., and Schwartzman, A. (2015) "False Discovery Control in Large-Scale Spatial Multiple Testing," Journal of the Royal Statistical Society, Series B, 77, 59-83.
Cao, H., Sun, W., and Kosorok, M. (2013) "The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing," Biometrika, 100, 495-502.
Sun, W., and McLain, A. (2012) "Multiple testing of composite null hypotheses in heteroscedastic models," Journal of the American Statistical Association.
James, G., Sun, W., and Qiao, X. (2012) "Discussion of Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility," Technometrics, 54, 123-126.
Sun, W., and Wei, Z. (2011) "Multiple Testing for Pattern Identification, With Applications to Microarray Time-Course Experiments," Journal of the Americal Statistical Association.