9 min readProbabilistic Reasoning
Bayesian Networks and Probabilistic Inference
How a graph and a few small tables stand in for a joint distribution with thousands of entries, how to answer a query against it exactly by enumeration and variable elimination, and what to do when exact inference is out of reach: rejection sampling, likelihood weighting, and Gibbs sampling, each worked through on the same two networks.
ProbabilityArtificial Intelligence