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Hello Rockstars,
I am trying to develop a hierarchical bayesian regression model across separate cities by following the below article :
[(https://towardsdatascience.com/bayesian-hierarchical-ma…
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Hello,
Currently we are use michaelis-menten or the sigmoid curves to optimize the budget allocation.
Is there a way to use the model parameters to predict on unseen data.
In simpler terms, I hav…
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There are many such instances in this test file:
https://github.com/easystats/performance/blob/c8977486a8f61e8de76840eb29bafb16c0925a6b/tests/testthat/test-model_performance.bayesian.R#L7
`insig…
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### Description
_No response_
### Purpose
_No response_
### Use-case
Likely whenever frequentist mediation would be used, but with the inherent advantages of Bayesian analysis
### Is your featur…
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**Reviewers:**
Submitting Author: Jouni Helske (@helske)
Other Package Authors: (delete if none) Name (@mvihola)
Repository: https://github.com/helske/bssm
Version submitted: 2.0.0
Submission ty…
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build Bayesian regressor using pymc3
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In the [Bayesian Neural Network ](https://turing.ml/dev/tutorials/03-bayesian-neural-network/) tutorial, there is code for a "Generic Bayesian Neural Network," that rebuilds the Flux model with the ne…
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Suggested by @juanitorduz. Would be good to get measures of uncertainty for the non-Bayesian models. Could use:
- https://github.com/scikit-learn-contrib/MAPIE
- https://github.com/statsmodels/stats…
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# Bayesian linear regression for practitioners - Max Halford
Motivation Suppose you have an infinite stream of feature vectors $x_i$ and targets $y_i$. In this case, $i$ denotes the order in which th…
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https://latex2image.joeraut.com/