Compare experimental data and prediction

Hello everyone, excuse me for the question if it’s trivial.

Let’s say I have a set of experimental data points, and a theoretical model that try to predict them.

How can I apply Bayesian analysis to determine how well the predictions match the experimental data? Should I fit a polynomial to the experimental and theoretical data points and compare how similar the coefficients’ pdf are?

This notebook is likely to help understand some of the relevant workflow.