Difference between revisions of "Probabilistic Functional Programming"
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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
- http://hackage.haskell.org/cgi-bin/hackage-scripts/package/probability