--On 17 novembre 2011 15:09:11 -0800 Nils Bertschinger
<nils.bertschin...@googlemail.com> wrote:
The two approaches are somewhat complementary to each other. Your
monad does exact inference on discrete distributions by running
through all possibilities. Mine is sampling based and does approximate
inference using MCMC.
I tried that approach as well:
https://github.com/richhickey/clojure-contrib/blob/master/src/main/clojure/clojure/contrib/probabilities/monte_carlo.clj
but I never used it much because for my own applications, exact inference
was very doable. I'll check out yours for comparison!
Konrad.
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