Hi everybody,

I am catching up on current research in Bayesian belief networks after some 
years in the wilderness. I'm interested in the possibility of Bayesian 
inference applications in medicine. Towards that end, I think explanation or 
some other qualitative presentation of results could be important to help 
people understand how and why results are generated.

A web search seems to find references that I remember seeing before, such as 
the excellent article by Madigan et al., "Graphical Explanation in Belief 
Networks". However i can't seem to find more recent works on this topic. I also 
browsed the proceedings of the UAI conference and came up empty handed. I guess 
I must be overlooking something.

If someone can point me to publications or other resources about explanation or 
other forms of qualitative analysis in belief networks or probabilistic models 
more generally, I'll be very appreciative. 

best,
Robert Dodier

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