王平平，女，副教授，统计学学硕、应用统计专硕硕士生导师, 2017年毕业于华东师范大学统计学院，获得理学博士学位。

电子邮箱：catherinewpp@126.com

研究方向：可靠性统计，空间统计，贝叶斯统计

访问与工作经历：

2017.12-今， 南京财经大学，讲师、副教授

2019.09-2019.10，韩国汉阳大学，访问学者

2015.09-2016.08，美国威斯康星大学麦迪逊分校，联合培养博士

讲授课程：统计建模与R实现（研究生）、统计学、大数据处理技术、现代工业统计、统计学习基础、贝叶斯统计、统计大数据文化、经济数学专题研究

指导学生获奖：指导学生获“全国统计建模大赛国家级一等奖”1项；全国大学生市场调查与分析大赛本科生组总决赛全国一等奖3项；指导本科生获得大学生创新创业大赛省级重点立项1项；指导其他学生获省部级奖励30余项

学术论文：

[1]Pingping Wang,Suk Joo Bae. Bayesian approach for two-phase degradation data based on Tweedie exponential dispersion process with change-point. IISE Transactions，2026, 58(2):154-166

[2]Pingping Wang,Yincai Tang. Approximate Bayesian inference based on INLA algorithm[J]. Statistical Theory and Related Fields, 2026, 10(1): 154-166.

[3]Pingping Wang,Yincai Tang. Remaining useful life prediction based on exponential dispersion process with random drifts[J]. Statistical Theory and Related Fields, 2025, 9(4):404-433

[4]Shirong Zhou，Yincai Tang，Pingping Wang，Jiawei Xu. Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach，Chinese Journal of Applied probability and Statistics，2024，40(2): 298-322.

[5]Pingping Wang，Yincai Tang，Gongpin Cheng. Degradation data analysis based on change-point Gamma process: A Bayesian perspective. Chinese Journal of Applied probability and Statistics，2022，38(5): 674-692

[6]Pingping Wang, Ting Fung Ma, Dipankar Bandyopadhyay, Yincai Tang, Jun Zhu; Composite likelihood inference for ordinal periodontal data with replicated spatial patterns. Statistics in Medicine，2021，40(26): 5691-5981.

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

[8]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.

[9]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.

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

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

[12]Yong He, Xinsheng Zhang,Pingping Wang. Discriminant analysis on high dimensional Gaussian copula model, Statistics & Probability Letters，2016, 117:100-112.

[13]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.

译著：

王平平，《社会科学的空间回归模型》，译著，高等教育出版社，2024

汤银才，王平平；《地理空间健康数据:基于用R-INLA和Shiny建模和可视化》，译著，高等教育出版社，2023

科研项目：

主持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