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once replace PyMC linear model with Bambi model #22 is finished, then run this NOT on standardised data, and provide appropriate priors. This way we can get more meaningful parameters and the predictions will be in the original data space.
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Add an example based on my COVID-19 example here https://www.pymc.io/projects/examples/en/latest/causal_inference/excess_deaths.html
The text was updated successfully, but these errors were encountered: