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://hackage.haskell.org/cgi-bin/hackage-scripts/package/probability

See also

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