Probabilistic Functional Programming

Probabilistic functional programming is a library for discrete random variables in terms of their distribution. Examples include dice games, the Monty Hall paradoxon and others.

• Erwig and Kollmansberger: Probabilistic Functional Programming
• http://eecs.oregonstate.edu/~erwig/pfp/

Version maintained by Henning Thielemann:

• http://hackage.haskell.org/cgi-bin/hackage-scripts/package/probability
• darcs get http://darcs.haskell.org/probability/

See also

• New monads/MonadRandom
• http://hackage.haskell.org/cgi-bin/hackage-scripts/package/ProbabilityMonads