This workshop will provide a background and introduction to Bayesian analysis using Stan and R interfaces to Stan. We will then work through 1-2 example applications in the area of cancer genomics.
[Stan](http://mc-stan.org/) is a modern probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC), approximate Bayesian inference with variational inference (ADVI), and penalized maximum likelihood estimation with optimization (L-BFGS).
This package contains vignettes & utility functions in support of the BioC 2016 workshop.
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