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This article discusses the approximation of probability densities by mixtures of Gaussian densities. The Kullback-Leibler divergence is used as a measure between densities, followed by applications of the EM algorithm. The conditions under which we study these questions are motivated by approximations introduced in non-linear Kalman-type filtering.
Hoek et al. (Wed,) studied this question.