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arXiv · 0908.0570

The Infinite Hierarchical Factor Regression Model

Piyush Rai·Hal Daumé III
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Abstract

We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we propose a sparse variant of the Indian Buffet Process and couple this with a hierarchical model over factors, based on Kingman's coalescent. We apply this model to two problems (factor analysis and factor regression) in gene-expression data analysis.

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Piyush Rai, Hal Daumé III. 2009-08-05. The Infinite Hierarchical Factor Regression Model. https://arxiv.org/abs/0908.0570

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