Runze Li

Co-Director of the Center for Statistical Genetics; Eberly Family Chair and Associate Department Head in Statistics

Runze Li

Huck Institutes Affiliations

Publication Tags

Variable Selection Partially Linear Model Screening Predictors Model Estimate Sample Size Quantile Regression Estimator Temperature Carbon Penalty Monte Carlo Simulation Simulation Study Genes Simulation Coefficients Sparsity Testing Smoothing Cannabis Alachlor Variance Estimation Linear Regression Efficient Estimation

Most Recent Papers

Variable selection for partially linear models via partial correlation

Jingyuan Liu, Lejia Lou, Runze Li, 2018, Journal of Multivariate Analysis on p. 418-434

Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming

Hongcheng Liu, Xue Wang, Tao Yao, Runze Li, Yinyu Ye, 2018, Mathematical Programming on p. 1-40

Error Variance Estimation in Ultrahigh-Dimensional Additive Models

Zhao Chen, Jianqing Fan, Runze Li, 2018, Journal of the American Statistical Association on p. 315-327

Depression and marijuana use disorder symptoms among current marijuana users

Lisa Dierker, Arielle Selya, Stephanie Lanza, Runze Li, Jennifer Rose, 2018, Addictive Behaviors on p. 161-168

Time-varying copula models for longitudinal data

Esra Kürüm, John Hughes, Runze Li, Saul Shiffman, 2018, Statistics and its Interface on p. 203-221

Projection correlation between two random vectors

Liping Zhu, Kai Xu, Runze Li, Wei Zhong, 2017, Biometrika on p. 829-843

A time-varying effect model for studying gender differences in health behavior

Songshan Yang, James A. Cranford, Runze Li, Robert A. Zucker, Anne Buu, 2017, Statistical Methods in Medical Research on p. 2812-2820

Folded concave penalized sparse linear regression

Hongcheng Liu, Tao Yao, Runze Li, Yinyu Ye, 2017, Mathematical Programming on p. 207-240

Circulating cholesterol levels may link to the factors influencing Parkinson's Risk

Lijun Zhang, Xue Wang, Ming Wang, Nick W. Sterling, Guangwei Du, Mechelle M. Lewis, Tao Yao, Richard B. Mailman, Runze Li, Xuemei Huang, 2017, Frontiers in Neurology

Variable selection via partial correlation

Runze Li, Jingyuan Liu, Lejia Lou, 2017, Statistica Sinica on p. 983-996

High-Impact Papers

Feature screening via distance correlation learning

Runze Li, Wei Zhong, Liping Zhu, 2012, Journal of the American Statistical Association on p. 1129-1139

New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models

Bo Kai, Runze Li, Hui Zou, 2011, Annals of Statistics on p. 305-332

Model-free feature screening for ultrahigh-dimensional data

Li Ping Zhu, Lexin Li, Runze Li, Li Xing Zhu, 2011, Journal of the American Statistical Association on p. 1464-1475

The Bayesian lasso for genome-wide association studies

Jiahan Li, Kiranmoy Das, Guifang Fu, Runze Li, Rongling Wu, 2011, Bioinformatics on p. 516-523

Climate control of terrestrial carbon exchange across biomes and continents

Chuixiang Yi, Runze Li, John Wolbeck, Xiyan Xu, Mats Nilsson, Luis Aires, John D. Albertson, Christof Ammann, M. Altaf Arain, Alessandro C. De Araujo, Marc Aubinet, Mika Aurela, Zoltán Barcza, Alan Barr, Paul Berbigier, Jason Beringer, Christian Bernhofer, Andrew T. Black, Paul V. Bolstad, Fred C. Bosveld, Mark S.J. Broadmeadow, Nina Buchmann, Sean P. Burns, Pierre Cellier, Jingming Chen, Jiquan Chen, Philippe Ciais, Robert Clement, Bruce D. Cook, Peter S. Curtis, D. Bryan Dail, Ebba Dellwik, Nicolas Delpierre, Ankur R. Desai, Sabina Dore, Danilo Dragoni, Bert G. Drake, Eric Dufrêne, Allison Dunn, Jan Elbers, Werner Eugster, Matthias Falk, Christian Feigenwinter, Lawrence B. Flanagan, Thomas Foken, John Frank, Juerg Fuhrer, Damiano Gianelle, Allen Goldstein, Mike Goulden, Andre Granier, Thomas Grünwald, Lianhong Gu, Haiqiang Guo, Albin Hammerle, Shijie Han, Niall P. Hanan, László Haszpra, Bernard Heinesch, Carole Helfter, Dimmie Hendriks, Lindsay B. Hutley, Andreas Ibrom, Cor Jacobs, Torbj̈rn Johansson, Marjan Jongen, Gabriel Katul, Gerard Kiely, Katja Klumpp, Alexander Knohl, Thomas Kolb, Werner L. Kutsch, Peter Lafleu, Tuomas Laurila, Ray Leuning, Anders Lindroth, Heping Liu, Benjamin Loubet, Giovanni Manca, Michal Marek, Hank A. Margolis, Timothy A. Martin, William J. Massman, Roser Matamala, Giorgio Matteucci, Harry McCaughey, Lutz Merbold, Tilden Meyers, Mirco Migliavacca, Franco Miglietta, Laurent Misson, Meelis Mölder, John Moncrieff, Russell K. Monson, Leonardo Montagnani, Mario Montes-Helu, Eddy Moors, Christine Moureaux, Mukufute M. Mukelabai, J. William Munger, May Myklebust, Zoltán Nagy, Asko Noormets, Walter Oechel, Ram Oren, Stephen Gpallardy, Kyaw Tha Paw U, João S. Pereira, Kim Pilegaard, Krisztina Pintér, Casimiro Pio, Gabriel Pita, Thomas L. Powell, Serge Rambal, James T. Randerson, Celso Von Randow, Corinna Rebmann, Janne Rinne, Federica Rossi, Nigel Roulet, Ronald J. Ryel, Jorgen Sagerfors, Nobuko Saigusa, María José Sanz, Giuseppe Scarascia Mugnozza, Hans Peter Schmid, Guenther Seufert, Mario Siqueira, Jean Fraņois Soussana, Gregory Starr, Mark A. Sutton, John Tenhunen, Zoltán Tuba, Juha Pekka Tuovinen, Riccardo Valentini, Christoph S. Vogel, Jingxin Wang, Shaoqiang Wang, Weiguo Wang, Lisa R. Welp, Xuefa Wen, Sonia Wharton, Matthew Wilkinson, Christopher A. Williams, Georg Wohlfahrt, Susumu Yamamoto, Guirui Yu, Roberto Zampedri, Bin Zhao, Xinquan Zhao, 2010, Environmental Research Letters

Estimation and testing for partially linear single-index models

Hua Liang, Xiang Liu, Runze Li, Chih Ling Tsai, 2010, Annals of Statistics on p. 3811-3836

Regularization parameter selections via generalized information criterion

Yiyun Zhang, Runze Li, Chih Ling Tsai, 2010, Journal of the American Statistical Association on p. 312-323

Design of Experiments With Multiple Independent Variables

Linda M. Collins, John J. Dziak, Runze Li, 2009, Psychological Methods on p. 202-224

Variable selection for partially linear models with measurement errors

Hua Liang, Runze Li, 2009, Journal of the American Statistical Association on p. 234-248

Local composite quantile regression smoothing

Bo Kai, Runze Li, Hui Zou, 2010, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 49-69