Bayesian Networks, Markov Structure, and MCMC
Use four connected experiments to distinguish conditional inference, local independence, real or modeled state transitions, and sampling transitions constructed for computation.
Before each run, predict the effect of changing a control. Then compare the numerical evidence to the lesson's equations. All calculations are local and deterministic for the same settings.