Address:
Office 1715, Jingyuan Building ,
School of Mathematics and Statistics,
Jiangsu Normal University,
Xuzhou, P. R. China

Telephone:
**

Email:
liupengfei@jsnu.edu.cn

Education:
2009-2013 Ph.D. (Statistics), The Chinese University of Hong Kong
2005-2009 B.S. (Mathematics), Sun Yat-sen University

Workexperience:
2014- 2016 Assistant Professor, Jiangsu Normal University, Xuzhou, P. R. China
2016- Associate Professor, Jiangsu Normal University, Xuzhou, P. R. China

Research Interests:
Empirical Likelihood Method, Latent Variable Models, Bayesian Inference,
Quantile Regression

Major Research Grants (Principal Investigator):
1.2016-2018 NSFC ** Structural Equation Models with Non-normal and Missing Data;
2.2016-2017 Project of Natural Science Research in Jiangsu Province 15KJB110007 Latent Variable Models with Non-normal Data;
3.2015-2016 Ph.D. Teacher's Research Support Project Foundation of Jiangsu Normal University 14XLR002.

Recent Publications:
1. Yong He, Pengfei Liu*, XingshengZhang, Wang Zhou(2021) Robust Covariance Estimation for High-dimensionalCompositional Data with Application to Microbial Communities Analysis.Accepted by Statistics in Medicine.
2. Pengfei Liu, Mengchen Zhang, RuZhang, Qin Zhou(2021) Robust Estimation and Tests for Parameters of SomeNonlinear Regression Models. Mathematics 2021, 9, 599. https://doi.org/10.3390/math**.
3. Pengfei Liu, Xuejun Ma, WangZhou(2020).High-order conditional distance covariance with conditional mutualindependence.Probability in the Engineering and Informational Sciences,pubilshed online,page 1 of 18, 2020. Doi:10.1017/S039X.
4. Yangchun Zhang and Pengfei Liu*(2020).Median-of-mean approach for repeated measure data. Communications inStatistics-Theory and Methods, pubilshed online.https://doi.org/10.1080/**.2019.**.
5. Aijun Yang, Xuejun Jiang,Lianjie Shu and Pengfei Liu (2019). Sparse bayesian kernel multinomial probitregression model for high-dimensional data classification.Communications inStatistics-Theory and Methods,Vol.48(1), 165-176.
6. Aijun Yang, Heng Lian, XuejunJiang and Pengfei Liu(2018). Sparse Bayesian variable selection for classifyinghigh-dimensional data. Statistics and its Interface, Vol. 11(2), 385-396.
7. Xinyuan Song, Deng Pan, PengfeiLiu and Jingheng Cai(2016). Bayesian analysis of transformation latent variablemodels with multivariate censored data.Statistical Methods in MedicalResearch, Vol. 25(5), 2337–2358.
8. Aijun Yang, Xuejun Jiang, PengfeiLiu Yang and Jinguan Lin(2016). Sparse Bayesian multinomial probit regressionmodel with correlation prior for high-dimensional data classification.Statistics and Probability Letters, 119, 241–247.
9. Hongshuo Wang, Hui Lin, DarlaK. Munroe, Xiaodong Zhang and Pengfei Liu(2016). Reconstructing rice phenologycurves with frequency-based analysis and multi-temporal NDVI in double-croppingarea in Jiangsu, China. Frontiers of Earth Science, 10(2), 292–302.
10.Pengfei Liu, Ji Chen, ZhaohuaLu and Xinyuan Song(2015). Transformation structural equation models withhighly non-normal and incomplete data. Structural Equation Modeling - AMultidisciplinary Journal,22, 401-415.
11.Ji Chen, Pengfei Liu andXinyuan Song(2013). Bayesian diagnostics of transformation structural equationmodels. Computational Statistics and Data Analysis, 68, 111-128.


指导学生获奖
1. 靳连威，姚峥嵘，庞烁烁，第四届全国大学生统计建模大赛研究生组二等奖，2015；
2. 靳连威，研究生国家奖学金，2016；
3. 阙丹怡，郭晓丹，张倩妮，第五届全国大学生统计建模大赛本科生组一等奖，2017；
4. 刘昌艳，袁玉芳，李玉，第五届全国大学生统计建模大赛研究生组三等奖，2017；
5. 陈俞怡，陆林子青，张雯雯，美国大学生数学建模竞赛二等奖，2017；
6. 刘昌艳，研究生国家奖学金，2018；
7. 宋朝炀，赵鑫宇，朱梦圆，美国大学生数学建模竞赛二等奖，2018；
8. 陈浩卿，刘昌艳，袁玉芳，第六届“泰迪杯”数据挖掘挑战赛全国二等奖，2018；
9. 郭施磊，胡冰雪，张露，第二届“泰迪杯”数据分析职业技能大赛全国一等奖，2019；
10. 樊璐璐，顾彩慧，沈若男，第二届“泰迪杯”数据分析职业技能大赛全国二等奖，2019；
11. 牛玉婷，吴仪，周丽丽，第二届“泰迪杯”数据分析职业技能大赛全国二等奖，2019.
12. 牛玉婷，吴仪，周丽丽，第八届“泰迪杯”数据挖掘挑战赛全国三等奖，2020.
13. 沈选选，王聪，尤妮，王孝天，高建朋，正大杯第十届全国大学生市场调查与分析大赛总决赛三等奖，2020.
14. 钟琴，王晴，樊璐璐，全国研究生统计建模大赛三等奖，2020.
15. 张茹，杨倩倩，杨文婷，第四届全国应?统计专业学位研究?案例?赛三等奖，2020.
16. 沈选选，尤妮，高建朋，第四届全国应?统计专业学位研究?案例?赛三等奖，2020.
17. 张琳铭，陈怡微，杨涛，第四届全国应?统计专业学位研究?案例?赛三等奖，2020.