Theory and Use of the EM Algorithm

Introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous understanding of this method. The book describes in detail two of the most popular applications of EM: estimating Gaussian mixture models, and estimating hidden Markov models.