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This has been for me one of the most eye-opening applications of how Bayesian methods can complement reinforcement learning. I'll be sure to go through the source data you've linked and understand how…
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### Title
Bayes on the brain
### Short description and the goals for the OHBM BrainHack
To write a tutorial notebook for Bayesian approaches to analysing fMRI data.
We aim to implement th…
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### Active Development
Yes
### Move source code
No
### Tool name
CruzPlot
### Tool abbreviation
CruzPlot
### Author(s)
Sam Woodman, Tim Gerrodette
### Contributor(s)
_No response_
### Tool…
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We need to be able to get the MAP estimate from the set of models being sampled from posteriors by all the Bayesian models to make the analysis somewhat tractable. i think the api should be something …
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### Description
Multivariate adaptive regression splines
### Purpose
Output similar to ordinary regression for high dimensional data. The method allows testing of non-linear associations alon…
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I propose moving the Bayesian mediation analysis and Bayesian moderation analysis notebooks from the Case Studies section to the Causal Inference section of the docs.
Both notebooks would be heavil…
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This issue is drawn from conversation with @zsusswein and @SamuelBrand1 at https://github.com/cdcent/cfa-parameter-estimates/issues/22.
## Topline
* We could look to add new models to estimate d…
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Dear all,
I am currently learning Bayesian analysis and utilizing `tensorflow_probability.substrates.jax`, but I've encountered some issues. While using `jax` with `jit` for NUTS alone, the perform…
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Making this ticket to track/plan creation of Bayes fitting functionality (developed in https://chemrxiv.org/articles/preprint/Bayesian_Data_Analysis_Reveals_No_Preference_for_Cardinal_Tafel_Slopes_in_…
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Once the main additional metadata is added to DYE, I'm thinking of enabling some setting option to restrict the available input data to sets or fixed categories so that metadata can be used for data a…