Mmm, Lightweightmmm, Orbit, Robyn.
of the process are called posteriors. The model parameters are considered random variables, and are estimated through posteriors (in frequentist statistics, parameter values are fixed). In summary: Bayesian models allow the assimilation of prior knowledge about the model parameters. The prior