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It would be useful to collect some discussion about the appropriate simulation procedures for the liquid mixtures project here and then do some tweaking of the code afterwards.
I'm looking through th…
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## Prelude / Prior Work
- https://github.com/kurtzace/complete-data-science-bootcamp-excercises
- [AI notes 2023](https://github.com/kurtzace/diary2023/issues/13)
- [Other data science steps taken …
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In thinking about the API, we asked if the current setup could handle a model where there are calibration uncertainties. Such a model would have a set of global parameters specifying the zeropoint for…
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part of #7338
beta, gamma, invgauss and recipinvgauss kernels can be obtained through sccipy's distributions, with appropriate parameterization.
Birnbaum-Saunders (fatiguelife) should also be pos…
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I can't figure out whether I am not understanding things or whether there is a typo in the implementation in Clapeyron.jl, but in the Soft-SAFT model, the implementation has:
https://github.com/Cla…
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I'm trying to make some dense layers that output the parameters of Gaussian mixture (a mixture density network). I want to run a batch of data through the network (for speed), get out a batch of distr…
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Not sure if this is Keras bug or tfp bug.
I'm trying to make some dense layers that output the parameters of Gaussian mixture (a mixture density network). I want to run a batch of data through the …
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Hey @hoffmannsarahlouise, here are some results to look at, although so far there's not much to see. After our discussion in #1, I ended up going with fairly simple Bayesian hierarchical models fitted…
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Hi,
I'm attempting to use BayesPy with a somewhat large hierarchical model. My model has a structure including 10 nodes (9 Categorial, 1 Multinomial). Each of the Categorical nodes has an unknown Dir…
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It'd be nice to be able to match our models and do something like this:
```
sigma_sim