Nonparametric factor analysis with beta process priors


We propose a nonparametric extension to the factor analysis problem using a beta process prior. This <i>beta process factor analysis</i> (BP-FA) model allows for a dataset to be decomposed into a linear combination of a sparse set of factors, providing information on the underlying structure of the observations. As with the Dirichlet process, the beta… (More)
DOI: 10.1145/1553374.1553474


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@inproceedings{Paisley2009NonparametricFA, title={Nonparametric factor analysis with beta process priors}, author={John William Paisley and Lawrence Carin}, booktitle={ICML}, year={2009} }