I have just added a new module for handling (finite) probability
distributions to clojure-contrib. Some examples are included as well,
but for those who want to see the examples without downloading the
clojure-contrib source code, I also uploaded them to the files
section of this group:
http://groups.google.com/group/clojure/web/
probability_distributions.clj
This module was initially inspired by the PFP library for Haskell
(see http://web.engr.oregonstate.edu/~erwig/pfp/, and in particular
the first paper under "further information"), but ended up being
quite different:
1) PFP uses lists of (value probability) pairs to represent
distributions. Clojure's maps are a more natural fit, so I use maps
from values to probabilities.
2) At the moment, I have only implemented deterministic
transformations of finite probability distributions. PFP also offers
random sampling, which I plan to add in the future.
3) I added a second monad, cond-dist, which allows a straightforward
implementation of Bayesian filters.
4) A significant part of the PFP code does nothing else but hide the
implementation details behind a few abstract data types. This makes
the code much more difficult to understand. In Clojure we don't have
to deal with types, so this overhead disappears.
Any feedback is welcome, as always!
Konrad.
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