Fast Learning of Gamma Mixture Models with k-MLE

Abstract

We introduce a novel algorithm to learn mixtures of Gamma distributions. This is an extension of the k-Maximum Likelihood estimator algorithm for mixtures of exponential families. Although Gamma distributions are exponential families, we cannot rely directly on the exponential families tools due to the lack of closed-form formula and the cost of numerical… (More)
DOI: 10.1007/978-3-642-39140-8_16

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