Probabilistic Functional Programming
(Difference between revisions)
m (Probability moved to Probabilistic Functional Programming)
Revision as of 23:38, 14 February 2009
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
Version maintained by Henning Thielemann:
darcs get http://darcs.haskell.org/probability/