Inference algorithms and learning theory for Bayesian sparse factor analysis
نویسندگان
چکیده
منابع مشابه
Inference algorithms and learning theory for Bayesian sparse factor analysis
Bayesian sparse factor analysis has many applications; for example, it has been applied to the problem of inferring a sparse regulatory network from gene expression data. We describe a number of inference algorithms for Bayesian sparse factor analysis using a slab and spike mixture prior. These include well-established Markov chain Monte Carlo (MCMC) and variational Bayes (VB) algorithms as wel...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2009
ISSN: 1742-6596
DOI: 10.1088/1742-6596/197/1/012002