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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，2023年春
    • Bayesian Statistics and Computing
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  • 康雁飞
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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

  • We present a modern review on forecast combinations over the past five decades December 30, 2022
  • New paper “Feature-based intermittent demand forecast combinations: accuracy and inventory implications” appeared in International Journal of Production Research December 15, 2022
  • New Paper: “Optimal reconciliation with immutable forecasts” appeared in European Journal of Operational Research November 24, 2022
  • The febama paper is published in the International Journal of Forecasting July 28, 2022
  • The darima paper is published in the International Journal of Forecasting April 26, 2022

商业预测（MBA，2020年秋）

课程课件

课程介绍
第一讲：R基础
第二讲：商业预测基础
第三讲：时间序列回归模型及应用
第四讲：ARIMA 模型及应用
第五讲：时间序列动态回归模型及应用
第六讲：商业预测前沿

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