姓　　名：刘旭
职　　称：副教授
研究方向：非参半参统计，金融风险，基因环境互作，高维数据
教授课程：数理统计；高等数理统计；数据分析与统计建模；计算机编程（C语言）
E - mail：liu.xu@sufe.edu.cn；电话：021-6590-1156
个人主页：https://xliusufe.gitee.io/
研究项目
序号 项目名称 项目编号 项目来源 起止时间 项目经费
1 复杂疾病基因数据的半参数建模及统计推断 ** 国家自然科学基金面上项目 2018.1-2021.12 48万
研究领域
非参与半参数统计、风险度量与管理、高维数据分析、生存数据分析、GWAS数据分析以及基因环境互作的研究。

教育经历
2007-2011
博士，云南大学，统计系
工作经历
2019.9-至今 副教授，上海财经大学，统计与管理学院
2016-2019.8 助理教授，上海财经大学，统计与管理学院
2013-2016 博士后，密歇根州立大学，统计概率系
2011-2013 博士后，美国西北大学，统计系
研究成果
Cheng, C., Feng, X., Huang, J. andLiu, X.* (2020+). Regularized projection score estimation of treatment effects in high-dimensional quantile regression.Statistica Sinica. Published onlineDOI: 10.5705/ss.202019-0247. An R-package “pqr” is available athttps://github.com/xliusufe/pqr.

Liu, X., Zheng, S. and Feng, X. (2020). Estimation of error variance via ridge regression.Biometrika.107, 481-488. An R-package “RidgeVar” is available athttps://github.com/xliusufe/RidgeVar, and a Python package “ridgevar” is availablehttps://github.com/xliusufe/RidgeVarpy.DOI: 10.1093/biomet/asz074.

Gao, B.
$\mathrm{?}$,Liu, X., Li, H. and Cui, Y. (2020). Integrative analysis of genetical genomics data incorporating network structures.Biometrics.75, 1063-1075. (
$\mathrm{?}$The first two authors contributed equally to this work)DOI: 10.1111/biom.13072. An R-package “IVGC” is available athttps://github.com/xliusufe/IVGC.

Liu, X., Zhong, P. S. and Cui, Y. (2020). Joint test of parametric and nonparametric effects in partial linear models for gene-environment interaction. Statistica Sinica. 30, 325-346. DOI:10.5705/ss.202017.0039

Liu, X., Gao, B. and Cui, Y. (2017).Generalized partially linear varying multi-index coefficient model for gene-environment interactions. Statistical Applications in Genetics and Molecular Biology. 16, 59-74.

Liu, X., Wang, H. and Cui, Y. (2016). Statistical identification of gene-gene interactions triggered bynonlinear environmental modulation.Current Genomics. 17, 388-395. [PDF]

Liu, X., Cui, Y. and Li, R. (2016). Partially linear varying multi-index coefficient model for integrative gene-environment interactions. Statistica Sinica.26, 1037-1060. [PDF] [Codes]

Liu, X., Song, X., Xie, S. and Zhou, Y. (2016). Variable selection for gamma frailty transformation models with application to diabetic complications. Canadian Journal of Statistics.44, 375-394. [PDF]

Liu, X., Jiang, H. and Zhou, Y. (2014). Local empirical likelihood inference for varying-coefficient density-ratio models based on case-control data. Journal of the American Statistical Association.109,635-646. [PDF]

Liu, X., Liu, P. and Zhou, Y. (2011). Distribution estimation with auxiliary information for missing data.Journal of Statistical Planning and Inference. 141, 711-724.

Liu, X.and Ishifaq, A. (2011). Distribution estimation with smoothed auxiliary information. ACTA Mathematicae Applicatae Sinica.27, 167-176.

奖励，荣誉
社会工作

学术报告（2008年以来）
Invited talk at Hangzhou International Conference on Frontiers of Data Science on May 26, 2019. Title “Inference on covariate effects under ridge regression for high dimensional data”.
Invited talk at Northest Normal University on November 6, 2018. Title “A tensor estimation approach to multivariate additive models”.
Invited talk at Shanghai University of International Business and Economics on October 25, 2018. Title “Inference on covariate effects under ridge regression for high dimensional data”.
Invited Talk at Qingdao (ICSA 2018) on July 4, 2018. Title “Joint test of parametric and nonparametric effects in partial linear models for gene-environment interaction”.

Invited talk at Zhongnan University of Economics and Law on March 25, 2017. Title “Integrative Analysis of Genetical Genomics Data Incorporating Network Structures”.

ICSA 2015 Applied Statistics Symposium, invited presenter.


ICSA 2012 Applied Statistics Symposium.


The 2009 International Symposium on “Statistics and Management Science”.
2010 International Conference of Statistics and Management Science.

Nonlinear Time Series: Threshold Modelling and Beyond an International Conference in Honour of Professor Howell Tong.

4ththInternational Forum on Statistics Renmin University of China,

5ththInternational Symposium on Frontier of Statistics Science.