The Statistical Computing Series

The Statistical Computing Series is a monthly event for learning various aspects of modern statistical computing from practitioners in the Department of Biostatistics. We focus on topics related to the R language, Python, and related tools, but we include the broadest possible range of content related to effective statistical computation. The format varies, depending on the speaker and the topic, from lectures to demonstrations to hands-on workshops.

If you have a particular topic you would like to see covered, please send a request.

There have been several requests for coverage of various topics. Here is a short list, if you are interested in contributing but are seeking inspiration:

  • writing R functions with formula arguments
  • writing R functions with methods
  • using makefiles
  • other graphics packages (base graphics)
  • lme4/nlme
  • reshape (package not function)/plyr
  • R data structures
  • bootstrapping / random number generating
  • imputation (using various packages and functions)
  • bibtex
  • software for slide presentations

Time & Location

Fourth Friday of each month at 1:30 pm in the Biostatistics Conference Room (11105, 2525 West End Avenue).

Email Notification

We send out email notifications the week of a particular presentation. If you would like to be added to the list, please let us know.

Fall 2018 Schedule

Getting Started with Bayesian Modeling in PyMC3

24 August, 2018 Chris Fonnesbeck

Data Cleaning with dataMaid

26 October, 2018 Molly Olson and Omair Khan


Click to view previous presentations

Topic revision: r145 - 21 Aug 2018, ChrisFonnesbeck
 

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