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Haixiang Zhang

Associate Professor

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Email: zhx_math@163.com

Research Interests
• High-dimensional data

• Biostatistics

• Time series analysis

Education
• 2003.09 -- 2007.07, B.S. inStatistics,Jilin University, China

•2007.09 -- 2009.07, M.Sc. in Probability and Statistics, Jilin University, China

• 2011.10 -- 2015.11, Ph.D in Probability and Statistics, Jilin University, Germany
Positions
• 2013.05-2015.05 Institute of Applied Mathematics,Chinese Academy of Sciences Postdoctor

•2015.05-2016.05 Northwestern University,USA Postdoctor

• 2013.04-2016.07 Mathematics School of Jilin University, Assistant Professor

• 2016.08- Center for Applied Mathematics, Tianjin University, Associate Professor
Publications
•Zhang, H., Zheng, Y., Zhang, Z., Gao, T., Joyce, B., Yoon, G., Zhang, W., Schwartz, J., Just, A., Colicino, E., Vokonas, P., Zhao, L., Lv, J., Baccarelli, A., Hou, L. and Liu, L. (2016). Estimating and testing high-dimensional mediation effects in epigenetic studies. Bioinformatics, In press

• Zhou, J., Zhang, H. , Sun, L. and Sun, J. (2016). Joint analysis of panel count data with informative observation process and a dependent terminal event. Lifetime Data Analysis. In press

• Fang, S., Zhang, H., Sun, L. and Wang, D. (2016). Analysis of panel count data with time-dependent covariates and informative observation process. Acta Mathematicae Applicatae Sinica (English Series), In press

• Fang, S., Zhang, H. and Sun, L. (2016). Joint analysis of longitudinal data with additive mixed effect model for informative observation times. Journal of Statistical Planning and Inference, 169, 43-55.

• Liu,Y., Wang, D., Zhang, H. and Shi, N. (2016). Bivariate zero truncated Poisson INAR(1) process. Journal of the Korean Statistical Society. 45, 260-275

• Li, C., Wang, D. and Zhang, H. (2015). First-order mixed integer-valued autoregressive processes with zero-inflated generalized power series innovations. Journal of the Korean Statistical Society, 44, 232-246.

•Zhang, H. and Wang, D. (2015). Inference for random coefficient INAR(1) process based on frequency domain analysis, Communications in Statistics: Simulation and Computation, 44, 1078-1100.

• Jia, B., Wang, D. and Zhang, H. (2014). A study for missing values in PINAR(1) processes. Communications in Statistics: Theory and Methods, 43, 4780-4789

• Zhang, H., Zhao, H., Sun, J. , Wang, D. and Kim, K. (2013). Regression analysis of multivariate panel count data with an informative observation process. Journal of Multivariate Analysis, 119, 71-80.

• Zhang, H., Sun, J. and Wang, D. (2013). Variable selection and estimation for multivariate panel count data via the seamless-L0 penalty. The Canadian Journal of Statistics, 41, 368-385.

• Zhang, H., Wang, D. and Zhu, F. (2012). Generalized RCINAR(1) process with signed thinning operator. Communications in Statistics: Theory and Methods, 41, 1750-1770.

• Zhang, H., Wang, D. and Zhu, F. (2011) Empirical likelihood inference for random coefficient INAR(p) process. Journal of Time Series Analysis, 32, 195-203.

• Zhang, H., Wang, D. and Zhu, F. (2011). The empirical likelihood for first-order random coefficient integer-valued autoregressive processes. Communications in Statistics: Theory and Methods, 40, 492-509.

• Wang, D. and Zhang, H. (2011). Generalized RCINAR(p) process with signed thinning operator. Communications in Statistics: Simulation and Computation, 40, 13-44.

• Zhang, H., Wang, D. and Zhu, F. (2010). Inference for INAR(p) processes with signed generalized power serie thinning operator. Journal of Statistical Planning and Inference, 140, 667
Center for Applied Mathematics, Tianjin University, No.92 Weijin Road, Tianjin 300072, P. R. China