教育经历 2012.09-2017.11, 华东师范大学统计学院,统计学博士 2015.09-2016.08, University of Wisconsin-Madison,联合培养博士 2008.09-2012.07, 山东师范大学数学与统计学院, 数学与应用数学专业学士

教授课程 统计建模与R语言（研究生） 统计学（本科生） 大数据处理技术（本科生） 现代工业统计（本科生） 统计学习基础（本科生）

科研项目 国家自然科学基金一项，主持 江苏省自然科学基金一项，主持 教育部人文社会科学基金一项，主持

可靠性统计，空间统计，贝叶斯统计

1.PingpingWang; TingFungMa; Dipankar Bandyopadhyay; Yincai Tang; Jun Zhu; Composite likelihood inference for ordinal periodontal data with replicated spatial patterns. Statistics in Medicine,2021 https://doi.org/10.1002/sim.9160

2.Ancha Xu; Jiawen Hu;Pingping Wang; Degradation modeling with subpopulation heterogeneities based on the inverse Gaussian process,Applied Mathematical Modelling, 2020, 81: 177-193.

3.Pingping Wang; Yincai Tang ; Suk Joo Bae; Yong He; Bayesian analysis of two-phase degradation data based on change-point Wiener process,Reliability Engineering & System Safety,2018, 170: 244-256.

4.Pingping Wang; Yincai Tang ; Suk Joo Bae; Ancha Xu; Bayesian approach for two-phase degradation data based on change-point Wiener process with measurement errors,IEEE Transactions on Reliability,2018, 67(2): 688-700.

5.Pingping Wang; Yincai Tang ; Ancha Xu; Bayesian analysis of compound Poisson process with change-point,Quality Technology & Quantitative Management, 2017, 0(0): 1-21.

6.Yong He; Xinsheng Zhang;Pingping Wang; Liwen Zhang ; High dimensional Gaussian copula graphical model with FDR control,Computational Statistics & Data Analysis, 2017, 113: 457

7.Yong He; Xinsheng Zhang;Pingping Wang;Discriminant analysis on high dimensionalGaussian copula model,Statistics & Probability Letters.2016, 117:100-112.

8.Yincai Tang;Pingping Wang; Hui Chen; Bayesian Analysis for change-point Linear Regression Models,Chinese Journal of Applied probability and Statistics, 2015, 31(1):89-102.