Presents the newest mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems, and monitoring. The authors cover a wide class of stochastic processes, from scalar independent observations to multidimensional dependent ARMA and state-space models, the properties of the algorithms for statistical change detection, tuning and optimizing change detection algorithms, and real-world applications.