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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
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    • Big Data Essentials
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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

  • 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
  • Paper “Improving forecasting with sub-seasonal time series” accepted in IJPR January 17, 2022
  • 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

Bayesian Statistics, 2019 Autumn

Lecture notes

L0: Course Introduction
L1: The Basics of Bayesian Statistics
L2: Bayesian Thinking
L3: Single-Parameter Models
L4: Multi-Parameter Models
L5: Introduction to Bayesian Computation
L6: Independent Monte Carlo Methods
L7: Markov chain Monte Carlo (MCMC) Methods
L8: Introduction to Bayesian Regression
L9: Applications of Bayesian Methods
L10: Review

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