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### Subject of the issue
I have creare a BN.
model = BayesianModel([
("A","SD"),("DW","SD"),
('A', 'ES'), ('DW', 'ES'),('SD','ES'),
('IW', 'IE'), …
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Suggestion: add a 3rd example to [tfp.mcmc.HamiltonianMonteCarlo](https://www.tensorflow.org/probability/api_docs/python/tfp/mcmc/HamiltonianMonteCarlo) showing how to infer the posterior parameters o…
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One of my main concerns related to the implementation of Bayesian inference with ITIC is how to implement experimental data. ITIC works well when comparing to REFPROP because we can evaluate REFPROP p…
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```
If the keyboard could collect statistics about what words come after each other
how often (http://en.wikipedia.org/wiki/Markov_chain), and use that to come up
with suggestions, that would be gre…
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[The format of the issue]
Paper name/title:
Paper link:
Code link:
amusi updated
2 months ago
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Currently the RJMC algorithm gives the result that the one parameter model is justified only in a 3:1 ratio. We expected that the one parameter model (just epsilon) would always be favored because we …
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# Overview
Paper Readthrough related to the original paper
[Reinforcement Learning, Fast and Slow](https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(19)30061-0)
- In depth …
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I know NaNoGenMo from scouring Github for useful python code for a project I am (was?) working on. Given that there were some interesting contributions last year, such as [In-Dialogue](https://github.…
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I know you've done NN stuff before and you've done a thing on Markov chains to generate text so I thought this idea of a Recurrent Neural Network Text Predictor might kind of interest you.
I was a…
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Simplifying from a user post on 2024-10-22, this causes model building to fail because of AD. Note that in testing we have a latent `dcat` with a dependent `dnorm` and that is fine. So something abou…