Hi, I’m familiar with Bayesian updates using discrete data - but I’m confused on how to do the same thing for continuous data, and someone recommended PyMC3. Here’s my example: My somewhat informative prior distribution of outcomes is this: import numpy as np import matplotlib.pyplot as plt from s…

How would I take this prior distribution and evidence and plug it into pymc3?

junpenglao December 26, 2021, 7:56am 3

Another option is to use pm.Interpolated, there is a bit more info in Updating priors — PyMC3 3.11.4 documentation

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