Overfitting Bayesian mixtures of factor analyzers with an unknown number of components
نویسندگان
چکیده
منابع مشابه
Overfitting Bayesian Mixture Models with an Unknown Number of Components
This paper proposes solutions to three issues pertaining to the estimation of finite mixture models with an unknown number of components: the non-identifiability induced by overfitting the number of components, the mixing limitations of standard Markov Chain Monte Carlo (MCMC) sampling techniques, and the related label switching problem. An overfitting approach is used to estimate the number of...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2018
ISSN: 0167-9473
DOI: 10.1016/j.csda.2018.03.007