selected publications academic article Panatta, E., Lena, A. M., Mancini, M., Smirnov, A., Marini, A., Delli Ponti, R., ... Candi, E. (2020). Long non-coding RNA uc.291 controls epithelial differentiation by interfering with the ACTL6A/BAF complex. EMBO Reports. 21(3), e46734. Kim, S., Cho, H. R., & Zhang, X. (2019). Initial severity‐dependent longitudinal model with application to a randomized controlled trial of women with depression. Statistics in Medicine. 38(9), 1678-1689. Yao, S., Zhang, X., & Shao, X. (2018). Testing mutual independence in high dimension via distance covariance. Journal of the Royal Statistical Society Series B: Statistical Methodology. 80(3), 455-480. Zhang, X., Yao, S., & Shao, X. (2018). Conditional mean and quantile dependence testing in high dimension. ANNALS OF STATISTICS. 46(1), 219-246. Zhang, X., & Cheng, G. (2018). Gaussian approximation for high dimensional vector under physical dependence. Bernoulli: a journal of mathematical statistics and probability. 24(4A), 2640-2675. Xiao, J., Chen, L. i., Johnson, S., Yu, Y., Zhang, X., & Chen, J. (2018). Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model. Frontiers in Microbiology. 9(JUN), 1391. Zhang, X., & Cheng, G. (2017). Simultaneous Inference for High-Dimensional Linear Models. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 112(518), 757-768. Li, B. o., Zhang, X., & Smerdon, J. E. (2016). Comparison between spatiotemporal random processes and application to climate model data. 27(5), 267-279. Zhang, X., & Shao, X. (2016). On the coverage bound problem of empirical likelihood methods for time series. Journal of the Royal Statistical Society Series B: Statistical Methodology. 78(2), 395-421. Zhang, X. (2016). Fixed-smoothing asymptotics in the generalized empirical likelihood estimation framework. Journal of Econometrics. 193(1), 123-146. Zhang, X. (2016). White noise testing and model diagnostic checking for functional time series. Journal of Econometrics. 194(1), 76-95. Zhang, X., & Shao, X. (2015). Two sample inference for the second-order property of temporally dependent functional data. Bernoulli: a journal of mathematical statistics and probability. 21(2), 909-929. Zhang, X., Li, B. o., & Shao, X. (2014). Selfnormalization for Spatial Data. 41(2), 311-324. Zhang, X., & Shao, X. (2014). Fixed-b asymptotics for blockwise empirical likelihood. STATISTICA SINICA. 24(3), 1179-1194. Zhang, X., & Shao, X (2013). Fixed-smoothing asymptotics for time series. ANNALS OF STATISTICS. 41(3), 1329-1349. Zhang, X., & Shao, X. (2013). On a general class of long run variance estimators. Economics Letters. 120(3), 437-441. Zhang, X., Shao, X., Hayhoe, K., & Wuebbles, D. J. (2011). Testing the structural stability of temporally dependent functional observations and application to climate projections. Electronic Journal of Statistics. 5(none), 1765-1796. Shao, X., & Zhang, X. (2010). Testing for Change Points in Time Series. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 105(491), 1228-1240.
principal investigator on ATD: Collaborative Research: Predicting The Threat of Vector-Borne Illnesses Using Spatiotemporal Weather Patterns awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2021 Leveraging Covariate and Structural Information for Efficient Large-Scale and High-Dimensional Inference awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2021 Collaborative Research: Statistical Inference for Functional and High Dimensional Data with New Dependence Metrics awarded by National Science Foundation - (Arlington, Virginia, United States) 2016 - 2019
teaching activities STAT211 Prin Of Statistics I Instructor STAT426 Mthds In Time Series Analysis Instructor STAT610 Distribution Theory Instructor STAT614 Probability For Stat Instructor STAT620 Asymptotic Statistics Instructor STAT681 Seminar Instructor STAT691 Research Instructor
education and training Ph.D. in Statistics, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 2013 B.S. in Statistics, University of Science and Technology of China - (Hefei, China) 2008
mailing address Texas A&M University Department Of Statistics 3143 TAMU College Station, TX 77843-3143 USA