Convergence of the EM algorithm for continuous mixing distributions
Abstract
Beyond the expectation–maximization (EM) algorithm for vector parameters, the EM for an unknown distribution function is often used in mixture models, density estimation, and signal recovery problems. We prove the convergence of the EM in functional spaces and show the EM likelihoods in this space converge to the global...
Paper Details
Title
Convergence of the EM algorithm for continuous mixing distributions
Published Date
Jan 1, 2015
Volume
96
Pages
190 - 195
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