Chas Emerick did a presentation on this: 
http://blip.tv/clojure/chas-emerick-modeling-the-world-probabilistically-using-bayesian-networks-in-clojure-5961126

But AFAIK the "raposo" library has not been published yet.

On Saturday, July 14, 2012 4:20:17 PM UTC+2, Simone Mosciatti wrote:
>
> Hi guys,
> I'm trying to develop a Bayesian Network just "for fun" XD
>
> My first problem is to understand how represent the graph necessary a DAG.
>
> I come out with something : https://gist.github.com/3111539 
> (Very very first stage I just finish to write this code)
>
> But I have some question to how represent properly the DAG.
>
> I need to map every child of every node, or I just need to know the 
> (non-)descendants of every node ? Why ?
>
> Do you have any useful link that I can use ? 
>
> Thank you guys anyway.
>
> PS: This is still me 
> http://stackoverflow.com/questions/11482474/clojure-dag-bayesian-network#comment15165499_11482474
>

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