Presentation: Introduction to Stan for Markov Chain Monte Carlo

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https://hdl.handle.net/1813/52656
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Author
Simpson, Matthew
Abstract
An introduction to Stan (http://mc-stan.org/): a probabilistic programming language that implements Hamiltonian Monte Carlo (HMC), variational Bayes, and (penalized) maximum likelihood estimation. Presentation given at the U.S. Census Bureau on April 25, 2017.
Sponsorship
NSF Award #1132031
Date Issued
2017-04-25
Subject
STAN; Monte Carlo; programming language
Related Version
Originally posted at http://stsn.missouri.edu/docs/stanintro_0.pdf
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presentation
 
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