Combining pre-fit model with new observations and forecasting in PyMC

There is some discussion here about how to use posteriors from one model as priors in the next:

though I don’t know what the best practice is but this topic has some detailed discussion and references to literature. It also seems there is already some implementations of what was discussed there in the pymc_experimental lib:

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