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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
    • Bayesian Statistics and Computing
    • 商业预测
  • 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

  • Paper “Large Language Models: Their Success and Impact” appeared in Forecasting 2023-08-25
  • Paper “A hybrid ensemble method with negative correlation learning for regression” appeared in Machine Learning 2023-08-23
  • We present a modern review on forecast combinations over the past five decades 2022-12-30
  • Paper “Feature-based intermittent demand forecast combinations: accuracy and inventory implications” appeared in International Journal of Production Research 2022-12-15
  • New Paper: “Optimal reconciliation with immutable forecasts” appeared in European Journal of Operational Research 2022-11-24

应用统计学 II，2020年春

  • L0：课程概览
  • L1：描述性统计（bodyfat data）
  • 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
  • L4：聚类分析 (coatsores data)
  • L5：主成分分析 (journals data)
  • L6：判别分析
  • L7：逻辑回归模型 (service data, .csv or .txt)
  • L8：时间序列分析
  • L9：指数的构造
  • L10：统计数据实战讨论
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