Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization

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...

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Bibliographic Details
Published in:	Journal of educational and behavioral statistics Vol. 40; no. 5; pp. 530 - 543
Main Authors:	Gelman, Andrew, Lee, Daniel, Guo, Jiqiang
Format:	Journal Article
Language:	English
Published:	Los Angeles, CA SAGE Publications 01.10.2015 American Educational Research Association
Subjects:	Bayesian analysis Bayesian Statistics Computer Software Hierarchical Linear Modeling Inferences Mathematical models Monte Carlo Methods Open source software Optimization techniques Probability Programming Languages Regression (Statistics) Regression analysis Software Review Statistical Distributions Statistical inference hierarchical models statistical computing Bayesian inference probabilistic programming
ISSN:	1076-9986, 1935-1054
Online Access:	Get full text
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