Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures
Author:
Affiliation:
1. Concordia Institute for Information Systems Engineering Concordia University,Montreal,Quebec,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10002706/10002716/10002752.pdf?arnumber=10002752
Reference29 articles.
1. A bayesian sampling framework for asymmetric generalized Gaussian mixture models learning;vemuri;Neural Computing and Applications,2021
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4. On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling
5. Bayesian inference in hidden Markov models through the reversible jump Markov chain Monte Carlo method
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