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Yanfei Kang, Ph.D.

Research and Life

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  • Research
    • The IIF Workshop on Feature-based Time Series Forecasting and Applications
    • The 2017 Beijing Workshop on Forecasting
  • Teaching
    • 应用统计学,2022年春
    • Bayesian Statistics and Computing, 2022 Spring
  • Life Partner
  • Students
  • 康雁飞
  • Books
  • KLLAB
  • News
  • GitHub
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Dr. Yanfei Kang is Associate Professor of Statistics at Beihang University in China. Prior to that, she was Senior R&D Engineer in Big Data Group of Baidu Inc. Yanfei obtained her Ph.D. degree at Monash University in 2014. She worked as a postdoctoral research fellow during 2014 and 2015 at Monash University. Her research interests include time series forecasting, time series visualization, text mining and statistical computing.

RSS News

  • Keynote talk for ICDM 2021 workshop by Yanfei Kang December 11, 2021
  • The Diversity paper is accepted in the European Journal of Operational Research October 21, 2021
  • Paper accepted in IJF: Exploring the social influence of Kaggle virtual community on the M5 competition October 2, 2021
  • New Paper: Bayesian forecast combination using time-varying features August 5, 2021
  • Paper accepted in IJF: Exploring the representativeness of the M5 competition data July 15, 2021

应用统计学,2022年春

应用统计学I

  • L0:课程概览
  • L1:样本及抽样分布 (R code)
  • L2:参数估计
    • L2.1:点估计
    • L2.2:区间估计 (R code)
  • L3:假设检验
  • L4:方差分析

应用统计学II

  • L1:描述性统计(bodyfat data)(R code)
  • L2:一元回归模型
    • L2.1:相关系数
    • L2.2:一元回归模型
  • L3:多元回归模型 (loan data, pollution data)
  • L4:聚类分析 (coatsores data)
  • L5:主成分分析 (journals data, houses.csv)
  • L6:判别分析
  • L7:逻辑回归模型 (service data, .csv or .txt)
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