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Dr. Feng Li

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To my students: on writing mail

phd042215s

Modified from http://www.phdcomics.com/comics/archive.php?comicid=1795

Author Feng LiPosted on October 9, 2015October 10, 2015Categories Default

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Previous Previous post: Complex Model for Complex Data via the Bayesian Approach
Next Next post: Paper: Credit Risk Clustering with Covariate-dependent Copula Models
Dr. Feng Li is Assistant Professor of Statistics at Central University of Finance and Economics in China. Feng obtained his Ph.D. degree in statistics at Stockholm University in 2013 and was awarded the 2014 Cramér Prize. His research interests include Bayesian econometrics, statistical computing and multivariate analysis.

News 🔔

  • Chinese translation available: Forecasting: principles and practice April 23, 2019
  • New Paper: Forecasting with time series imaging April 18, 2019
  • Invited Session: MCM 2019 February 10, 2019
  • Webinar: Introduction to Web Scraping December 27, 2018
  • Workshop: Distributed Statistical Computing for Big Data December 15, 2018

Recent Teaching 👨‍🏫

  • Distributed Statistical Computing for Big Data (graduate level)
  • Tools for Data Science (2019 spring)
  • Bayesian Data Analysis (graduate level)
  • Statistical Computing (undergraduate level)
  • Statistical Case Studies (graduate level) 

Research Co-authors

  • Mattias Villani Stockholm University & Linköping University
  • Robert Kohn University of New South Wales
  • Yanfei Kang Beihang University
  • Rob J Hyndman Monash Univerisy
  • Bindu Kalesan  Boston University

Recent Comments

  • Sheraz Mirza on Set fonts size in R plot
  • Meenakshi on How to crop an eps file?
  • mila on Generalized hypergeometric function in R
  • Feng Li on Generalized hypergeometric function in R
  • Sulthan on Generalized hypergeometric function in R

© Feng Li

The views and opinions expressed in this page are solely the responsibility of the author and should not be interpreted as reflecting the views of the author's affiliations now or then. contact-qr-en
  • Research
    • Publications & Projects
    • Project: NSFC-11501587
    • Book: Distributed Statistical Computing for Big Data
    • Book: 预测： 方法与实践
  • Computer Code
  • Teaching
    • Statistical Computing (2019 Spring)
    • Tools for Data Science (2019 Spring)
    • Statistical Case Studies (2019 Spring)
    • Distributed Statistical Computing for Big Data (2018 Fall)
    • ALL TEACHING
  • News
  • Academic Services
  • Contact
  • 李丰
  • Life Partner
  • Students
  • GitHub
  • Twitter
  • LinkedIn
  • Youtube
  • Google Scholar
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