Difference between revisions of "Probabilistic Functional Programming"
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* Erwig and Kollmansberger: [http://web.engr.oregonstate.edu/~erwig/papers/PFP_JFP06.pdf Probabilistic Functional Programming] |
* Erwig and Kollmansberger: [http://web.engr.oregonstate.edu/~erwig/papers/PFP_JFP06.pdf Probabilistic Functional Programming] |
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+ | * http://eecs.oregonstate.edu/~erwig/pfp/ |
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+ | Version maintained by Henning Thielemann: |
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* http://hackage.haskell.org/cgi-bin/hackage-scripts/package/probability |
* http://hackage.haskell.org/cgi-bin/hackage-scripts/package/probability |
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+ | * <code>darcs get http://darcs.haskell.org/probability/</code> |
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== See also == |
== See also == |
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://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/