articleJournal of Educational and Behavioral StatisticsOct 1, 2015Closed access

Stan

Columbia University

Indexed incrossref

Abstract

Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users’ and developers’ perspectives and illustrate with a simple but nontrivial nonlinear regression example.

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556
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Authors

3

Topics & keywords

Keywords
  • Python (programming language)
  • Computer science
  • Statistical inference
  • MATLAB
  • Open source
  • Inference
  • Approximate Bayesian computation
  • Simple (philosophy)
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