Python

This page serves as the primary guide for my students who want to learn Python.

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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)

Recent Posts & News

Workshop: Distributed Statistical Computing for Big Data December 15, 2018
Paper: Efficient generation of time series with diverse and controllable characteristics August 23, 2018
Webinar: Tool Chain for Data Science April 20, 2018
Workshop: The 2017 Beijing Workshop on Forecasting November 7, 2017
R package: dng – distributions and gradients September 21, 2017

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.

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

© 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.

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