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Yanfei Kang, Ph.D.

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    • 应用统计学
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    • 统计与计量前沿专题
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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

  • 应用统计学 I
  • 应用统计学 II

应用统计学 I

  • L0:课程概览
  • L1:样本及抽样分布
  • 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 (iqeq.txt)
    • L2.2:一元回归模型 (poverty.txt, skincancer.txt, Marketing data)
  • L3:多元回归模型 (loan data, birthsmokers.txt, iqsize.txt, martian.txt, hospital_infct.txt)
  • L4:聚类分析 (coatsores data, pollution data)
  • L5:主成分分析 (journals data, houses.csv, places.csv, pollution data)
  • L6:判别分析
  • L7:逻辑回归模型 (service data, .csv or .txt)
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