I am trying to use PyMC for a Bayesian Inversion Problem. I would need to start with a prior, get some samples using MCMC, then change my forward function and resume sampling, i.e., I do not want to start again with the original prior. Is there a way to do it? For the moment, it might be enough to …

Pause and resume sampling while changing the model

wmbelk March 10, 2023, 4:44am 4

If you want the results joined, could you just use arviz to merge the inference data outputs?

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