-
Functions/methods without proper wide-band implementations. Some of these are in progress.
* `toa.TOAs.get_summary()`
* `utils.akaike_information_criterion()` and `utils.bayesian_information_criter…
-
rbmi can support the implementation of retrieved-dropout methods. However, a vignette describing how these can be implemented is still missing.
The vignette should include:
- A very short introdu…
-
# Description
It would be great to have Normalizing Flow MCMC method.
## Paper reference
- [Adaptive Monte Carlo augmented with normalizing flows](https://arxiv.org/abs/2105.12603)
- [Efficient …
-
Bayesian methods are quite useful for models with random effects, eg where there is repeated measurements on subjects. This type of data seems to come up quite a bit in sports and exercise science. …
-
We discussed at some point, that we want to have a common place where a lot of the generics should life that packages such as rstanarm, brms, etc. use. Right now, a lot of them are in rstantools but I…
-
# Title
Introduction to Simulation Based Inference: enhancing synthetic models with Artificial Intelligence
# Responsible person(s)
Alina Bazarova, Stefan Kesselheim, Forschungszentrum Jülich, …
-
Ensure that JAGS dependency for Bayesian functions is documented in the function man for the Bayes agg methods.
-
This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
-
I was learning about probabilistic programming and came across this online book: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers (this uses `PyMC3`). I c…
-
I suggest that the starting point is what Cassandra, Hu, and I used in https://github.com/fsolt/dcpo_dem_mood, but an alternative is go with `brms` as in https://github.com/fsolt/dcpo_macrointerest. …