Presentation: Introduction to Stan for Markov Chain Monte Carlo

File(s)
stanfiles.zip (3.71 KB)
Accompanying files
stanintro_0.pdf (6.5 MB)
Presentation
Permanent Link(s)
Collections
University of Missouri Node
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
Keywords
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Related Version
Originally posted at http://stsn.missouri.edu/docs/stanintro_0.pdf
Type
presentation
software