Variační bayesovské metody

Abstract

This thesis is focused to variational bayesian methods. Informations gained about variational bayes were applied to mixture models. Then we implemented iterative algorithms used for computation of variational parameters. Algorithms were tested on simulated dataset and also on real dataset.

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Subject(s)

variational bayes, bayesian statistics, mean-field aproximation, mixture models, ELBO

Citation