统计学专业课程主任、副教授
 电子邮箱: heping@uic.edu.hk
 办公地点: T3-602-R18

 教育经历
  • 2002-2005: 香港浸会大学 数学学院 概率论与数理统计专业博士
  • 1999-2002: 四川大学 数学学院 概率论与数理统计专业硕士
  • 1995-1999: 四川大学 数学学院 应用数学专业学士
 研究与工作经历
  • 2006年9月-至今: 北京师范大学-香港浸会大学联合国际学院
  • 2005年9月-2006年8月: 香港理工大学商学院金融专业,高级研究助理
  • 2004年9月-2004年12月: 瑞典农业大学生物统计和工程学院,研究助理,生物数据分析
 研究领域与科研方向

 数据挖据、统计模拟、非参数分析和中药指纹图谱分析

 主要科研成果

 1、科研项目

  • Principal Investigator, Application of Modern Statistical Methods in Chromatographic Fingerprint Analysis for Quality Assessment of Traditional Chinese Medicine, UIC Research Grant (2012-1015)
  • Co-investigator, Measure of uniformity, constructing uniform design and their application in statistical simulation, UIC Research Grant (2014-2016).
  • Co-investigator, An Interdisciplinary Study on the Causes and Effects of UIC's Education Practice’, UIC Research Grant (2010-2012).
  • Co-investigator, Individual and Institutional Trading and Stock Returns Behavior: Evidence from China, University of Hong Kong Polytechnic Research Grant (2005-2006).

 2、科研论文

  • J.J. Jiang, P. He, K.T. Fang, An Interesting Property of The Arcsine Distribution and Its Applications, Statistics and Probability Letters, (2015), 105, 88-95.
  • X.P. Cheng, H. Cai, P. He, R.T. Tian, Combination of effective machine learning techniques and Chemometric analysis for evaluation of Bupleuri Radix through high-performance thin-layer chromatography, Anal. Methods, (2013), 5, 325-330.
  • P. He, Z.M. Zhang, Y.L. Zeng, Automated Baseline Correction with Adaptive Iteratively Roughness Penalty Spline Smoothing. Proceedings of the 9th International Chinese Statistical Association (ICSA) Conference, (2013), HKBU, China, P.R.
  • Steven S. W., W. Li and P. He (2007) what makes institutional and individual investor trade excessively: evidence from China, Proceedingsof the 15th annual Conference on Pacific Basin Finance, Economics, Accounting and Management,Vietnam.
  • P. He, Kai-Tai Fang, Yi-Zeng Liang and Bo-Yan Li, (2005) A Generalized Boosting Algorithm and Its Application to Two-Class chemical Classification Problem, Analytica Chimica Acta . 543,181-191.
  • P. He, C.J. Xu, Y.Z. Liang and K.T. Fang, (2004) Improving the Classification Accuracy in Chemistry Via Boosting Technique, Chemometrics and Intelligent Laboratory Systems . 70,39-46.
  • P. He, K.T. Fang, Y.Z. Liang and C.J. Xu, (2003) The Decision Tree Combined with SIR and Its Applications to Classification of Mass Spectra, Journal of Data Science, 1, 425-445.
  • K. Varmuza, P. He and K.T. Fang, (2003) Boosting Applied to Classification of Mass Spectral Data, Journal of Data Science, 1, 391-404
 授课课程
  • 统计模拟
  • 数据挖掘
  • 金融数学导论
  • 金融计算
  • 精算数学
  • 人寿偶然性
  • 损失模型
  • 应用随机过程
  • 计算机数据分析(R)
  • 计算机数据分析(SPSS)
  • 微积分
  • 商业统计