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See also "Probabilistic Functional Programming" at http://www.haskell.org/haskellwiki/Probabilistic_Functional_Programming http://www.haskell.org/haskellwiki/Pr

by wnoise 15y ago

See also "Probabilistic Functional Programming" at http://www.haskell.org/haskellwiki/Probabilistic_Functional_Programming http://www.haskell.org/haskellwiki/Probabilistic_Functional_... A Haskell embedding seems easier than adding new syntax to R, though you don't get all the nice algorithms that are already implemented in R.

ekidd 15y ago
The "Probablistic Functional Programming" paper was really fun, and it builds on some decades-old observations in mathematics. You can easily extend the PFP framework to handle Bayes rule. I experimented with this a few years back, and was pleasantly surprised how natural it was: http://www.randomhacks.net/articles/2007/02/22/bayes-rule-and-drug-tests http://www.randomhacks.net/articles/2007/02/22/bayes-rule-an... (Or, for those who love details, a PDF: http://www.randomhacks.net/darcs/probability-monads/probability-monads.pdf http://www.randomhacks.net/darcs/probability-monads/probabil... )
- T_S_ 15y ago
  That was a great paper BTW.