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I think that Bayesian neural networks would be a natural successor to our tutorials on Bayesian GLMs.
As far as the neural network library to use, I think [Flux](https://github.com/FluxML/Flux.jl) …
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### Subject of the issue
Add support for causal inference in Bayesian Networks. It should be a new class accepting all the models on which causal inference can be done (Bayesian Networks and SEM at t…
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I'm comparing different libraries for Bayesian inference and I'm wondering if my pomegranate tests show "correct" numbers or maybe I'm using it wrong. (Bit related to this closed issue: #811 )
My 2…
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Has the Mocapy++ been integrated into biopython. I can't seem to find any sample code on DBNs in biopython. Any help is appreciated. [I am specifically looking at parameter learning in DBNs]
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See: https://arxiv.org/pdf/1502.05700.pdf
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I was exploring other PGM libraries as suggested by @khalibartan in #588 , i have found [this](http://www.bnlearn.com/documentation/man/bn.cv.html) in bnlearn.
I was wondering about the possibility o…
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Thanks for this very helpful documentation. The documentation's reference for dynamic Bayesian networks is Dean and Kanazawa 1988 AAAI. Chasing this up further I found a journal version of that paper.…
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Either migrate the implementation from the [primo-legacy](https://github.com/SocialCognitiveSystems/PRIMO/tree/primo-legacy) branch or integrate the results of M. Holland's Master's thesis (“Dynamisch…