bayes-stack: Framework for inferring generative probabilistic models with Gibbs sampling

[ bsd3, library, math ] [ Propose Tags ]
Dependencies base (==4.*), cereal, containers, deepseq, digamma, enummapset, gamma, ghc‑prim, logfloat, mtl, mwc‑random, pretty, random‑fu, random‑source, rvar, statistics, stm, transformers, vector [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 Ben Gamari
Author Ben Gamari
Category Math
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Source repo head: git clone
Uploaded by BenGamari at Sat Oct 27 16:25:43 UTC 2012
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bayes-stack is a framework for inference on generative probabilistic models. The framework uses Gibbs sampling, although is suitable for other iterative update methods.




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