Inference algorithms and learning theory for Bayesian sparse factor analysis
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 …