Advanced Statistical Programming Camp 2016

Dates: Monday, January 25 - Friday, January 29, 2016
Session: 1:00pm - 4:00pm
Location: Sherrerd Hall 101

led by Hubert Jin and Will Lowe, Senior Research Specialists

The Advanced Statistical Programming Camp builds on the Introductory Statistical Programming Camp by expanding the computing toolsets of researchers.  The camp provides tools which can help analyze big datasets, e.g. voter files across many states, micro-level international trade data, large federal personnel databases, and employ computationally intensive methods, e.g. Monte Carlo simulations, Bayesian Markov chain Monte Carlo, cross-validation, or the bootstrap.

We begin by introducing some low-cost strategies for improving performance in R. To help process large data and improve the speed of computation, we then cover parallel execution of {R} code on both personal machines and on remote high performance computing systems available at Princeton. Lastly, we cover basic C++ and the use of Rcpp to produce tightly integrated and fast compiled code.

If you are interested in attending this workshop, you must register.  Please sign up here. You will be added to the Blackboard class which will give you access to materials and the discussion board.

Download the syllabus