Filtering and prediction is about observing moving objects when the observations are corrupted by random errors. This title includes chapters that deal with discrete probability spaces, random variables, conditioning, Markov chains, and filtering of discrete Markov chains. It also discusses filtering and prediction of stationary sequences.