张庆昭
副教授
中科院

电话：
电子邮件：qzzhang at xmu.edu.cn
办公室：经济楼B503
个人主页：


个人简介 研究成果 研究项目 工作经历
Associate Professor at Department of Statistics, School of Economics andThe Wang Yanan Institute for Studies in Economics,September 2016-

Postdoctoral Associate at Yale School of Public Health, Department of Biostatistics, August 2015-August 2016
Research Assistant at Department of Applied Mathematics, The HongKong Polytechnic University, July 2015
Postdoctoral Associateat School of Mathematics, University of Chinese Academy of Sciences, June 2013-September 2016

教育背景
Ph.D. in Probability and Mathematical Statistics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 2008-2013;
B.S. in Mathematics and Applied Mathematics, Huazhong University of Science & Technology, 2004-2008
研究兴趣
Semiparametrics, High-dimensional data analysis, Empirical likelihood, Robust statistics, Statistical Machine Learning.
教学
Advanced Probability Theory, Multivariate Analysis


Wu, C., Zhang, Q., Jiang, Y. and Ma, S.*(2018). Robust Network-based Analysis of the Associations between (Epi)Genetic Measurements. Journal of Multivariate Analysis, 168, 119-130.
Fang, K., Fan, X., Zhang, Q. and Ma, S.*(2018). Integrative Sparse Principal Component Analysis. Journal of Multivariate Analysis, 166, 1-16.
Bao, F., Deng, Y., Du, M., Ren, Z., Zhang, Q., Zhao, Y., Suo, J., Zhang, Z., Wang, M.* and Dai, Q. (2018) Probabilistic natural mapping of gene-level tests for genome-wide association studies. Briefings in Bioinformatics, 19(4), 545-553.
Huang, Y., Zhang, Q., Zhang, S., Huang, J. and Ma, S.* (2017) Promoting similarity of sparsity structures in integrative analysis with penalization. Journal of the American Statistical Association, 112, 342-350.
Sun, Z., Chen, F., Zhou, X. and Zhang, Q.* (2017). Improved model checking methods for parametric models with responses missing at random. Journal of Multivariate Analysis, 154, 147-161.
Zhang, Q., Duan, X. and Ma, S.* (2017). Focused Information Criterion andModel Average Under Generalized Rank Regression. Statistics & Probabilityletters, 122, 11-19.
Li, Y., Zhang, Q. and Wang, Q.* (2017). Penalized estimation equation for an extended single-index model. Annals of the Institute of Statistical Mathematics, 69, 169--187.
Wang, G., Zhao, Y., Zhang, Q., Zang, Y., Zhang, S. and Ma, S.*(2017). Identifying gene-environment interactions associated with prognosis using penalized robust regression. Invited book chapter. Big and Complex Data Analysis: Statistical Methodologies and Applications, Springer, 347-367.

Zang, Y.,Zhang, Q., Zhang, S., Li, Q. and Ma, S.*(2017). Tests for High Dimensional General linear Regression Model. Invited book chapter. Big and Complex Data Analysis:Statistical Methodologies and Applications, Springer, 29-50.

Zang, Y., Zhang, S., Li, Q. and Zhang, Q.* (2016). Jackknife empirical likelihood test for high-dimensional regression coefficients. Computational Statistics & Data Analysis, 94, 302-316.

Lai, P., Zhang, Q.*, Lian, H. and Wang, Q. (2016). Efficient estimation for the heteroscedastic single-index varying coefficient models.Statistics & Probability letters, 110, 84-93.

Wu, X., Zhang, S., Zhang, Q. and Ma, S.* (2016). Detecting change point in linear regression using jackknife empirical likelihood.Statistics and Its Interface, 9, 113-122.

Wu, X., Zhang, Q. and Zhang, S.* (2016). Detecting difference between coefficients in linear model Using Jackknife Empirical Likelihood.Journal of Systems Science and Complexity, English Series, 29, 542-556.

Zhang, T., Zhang, Q.* and Li, N. (2016). Least absolute relative error estimation for functional quadratic multiplicative model.Communications in Statistics-Theory and Methods, 45, 5802-5817.

Zhang, Q., Zhang, S., Liu, J., Huang, J. and Ma, S.* (2016). Penalized integrative analysis under the accelerated failure time model. Statistica Sinica, 26, 493-508.

Zang, Y., Zhao, Y., Zhang, Q., Chai, H., Zhang, S. and Ma, S.*(2015). Identifying Gene-Environment Interactions with A Least Relative Error Approach.Book chapter,ICSA book series in statistics, 305-322, 2015 ICSA/Graybill Applied StatisticsSymposium, Springer.

Dai, P., Zhang, Q. and Sun, Z.* (2014). Variable selection of generalized regression models based on maximum rank correlation.Acta Mathematicae Applicatae Sinica, English Series, 30, 833-844.

Zhang, T., Zhang, Q. and Wang, Q.* (2014). Model detection for functional polynomial regression.Computational Statistics & Data Analysis, 70, 183-197.

Zhang, Q., Li, D.* and Wang, H. (2013). A note on tail dependence regression.Journal of Multivariate Analysis, 120, 163-172.

Zhang, Q. and Wang, Q.* (2013). Local least absolute relative error estimating approach for partially linear multiplicative model.Statistica Sinica, 23, 1091-1116.

（* 通讯作者）


多源高维数据的整合分析方法与理论，国家自然科学面上基金（**）， 2020.01-2023.12
带顺序结构的高维交互效应模型的稳健推断方法，教育部人文社会科学研究青年基金 （19YJC910010），2019-2021 高维异质多数据集整合方法研究，中央高校业务费（）， 2017.01-2019.12 基于分位数回归的高维数据降维及变量选择研究，国家自然科学青年基金（**），2015.01-2017.12 基于中心分位数子空间的充分降维问题研究，中国博士后科学基金二等资助（2014M550799）,2014.03-2016.06