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bayesian-inference
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Description:
We need some easy to follow instructions on how to use the core Stan inside a user-written C++ program. See stan-dev/stan#3085 for example.
The instruction can simply guide through the task of compiling one of the models and running MCMC with the services. The biggest challenges are typically all the dependencies that we need to include in the C++
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trace_to_dataframe() in PyMC3 to save traces is currently implemented in Rethinking_2 notebooks (e.g. Chp_04). But the function is planned for deprecation, with Arviz being the intended package to save traces. As per this comment by @AlexAndorra, Arviz's InferenceData format is a superior replacement to this function as it
Dear Numpyro developers,
Please develop Euler Maruyama features in numpyro similar to features found in PyMC.
Thanks alot.
Hi @JavierAntoran @stratisMarkou,
First of all, thanks for making all of this code available - it's been great to look through!
Im currently spending some time trying to work through the Weight Uncertainty in Neural Networks in order to implement Bayes-by-Backprop. I was struggling to understand the difference between your implementation of `Bayes-by-Bac
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Hi all,
Any chance the ZIP Beta-Binomial model can be added to the BRMS package?
There seems to be interest on this family
https://discourse.mc-stan.org/t/zero-inflated-beta-binomial-model-under-brms/13170
Thanks.
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The introduction page in Cell 23 has contour plots showing the cross sections of Posterior.
The legend does not have the appropriate patches to help distinguish between the two guides (SVI Diagonal Normal and SVI MV Normal)
I thi