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Dr. Feng Li

{ computing, forecasting and learning with massive machines }

  • Research
    • Publications & Projects
    • Academic Services
    • Talks and Interviews(学术报告和访谈)
    • Project: NSFC-11501587
  • Monographs | Books
    • Bayesian Modeling of Conditional Densities
    • 大数据分布式计算与案例(Distributed Statistical Computing)
    • 统计计算(Statistical Computing)
    • 预测: 方法与实践(Forecasting: principles and practice )
  • Software | Code
  • Courses
    • Distributed Statistical Computing(大数据分布式计算)
    • Statistical Computing(统计计算)
    • Python for Finance and Economics(Python程序设计与数据挖掘)
    • Tools for Data Science(数据科学工具)
    • ALL TEACHING
  • KLLAB | People
    • KLLAB.org (Dr. Kang & Li’s Lab)
    • Life Partner
    • Students
  • Contact
  • 李丰

Author: Feng Li

Dr. Feng Li is an Associate Professor of Statistics in the School of Statistics and Mathematics at Central University of Finance and Economics in Beijing, China. Feng obtained his Ph.D. degree in Statistics from Stockholm University, Sweden in 2013. His research interests include Bayesian computation, econometrics and forecasting, and distributed learning. His recent research output appeared in statistics and forecasting journals such as the International Journal of Forecasting and Statistical Analysis and Data Mining, AI journals such as Expert Systems with Applications, and medical journals such as BMJ Open.

New Paper: Forecast with Forecasts: Diversity Matters

Published December 6, 2020
Categorized as Default

We are presenting at ISF2020 Invited Session

Published October 23, 2020
Categorized as Default

The Deja Vu paper is accepted in the Journal of Business Research

Published October 21, 2020
Categorized as Default

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Dr. Feng Li
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