Starting from a historical survey of the use of moments in probability and statistics, this title illustrates the continuing vitality of these methods in a variety of novel problems drawn from such areas as Wiener-Ito integrals, random graphs and matrices, Gibbs ensembles, cumulants and self-similar processes, and empirical estimation.