Bayesian Estimation of Beta Mixture Models with Variational Inference

Abstract

Bayesian estimation of the parameters in beta mixture models (BMM) is analytically intractable. The numerical solutions to simulate the posterior distribution are available, but incur high computational cost. In this paper, we introduce an approximation to the prior/posterior distribution of the parameters in the beta distribution and propose an… (More)
DOI: 10.1109/TPAMI.2011.63

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