Getting more out of Stan: some ideas from the Haskell bindings
(2018)
Conference Proceeding
NILSSON, H., NIELSEN, T. A., & STEINITZ, D. (2018). Getting more out of Stan: some ideas from the Haskell bindings
Stan has emerged as the most practical and widely used probabilistic programming language for Bayesian computation. As the capabilities within Stan for further processing of results from probabilistic computations is limited, Stan is often used from... Read More about Getting more out of Stan: some ideas from the Haskell bindings.