Difference between revisions of "Probabilistic Functional Programming"

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m (Probability moved to 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>
   
 
== 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.

Version maintained by Henning Thielemann:

See also