Bayesian Matrix Completion for Hypothesis Testing
- Adapt Bayesian heteroscedastic nonparametric regression to a multiple hypothesis testing framework.
- Impose a generalized latent factor model to form a non-exchangeable prior for testing.
- Develop a matrix completion method for a latent matrix.
- Tackle sparsity of the ToxCast data using hierarchical framework.
- Enable prediction for non-tested chemical’s activity.
- Broaden the definition of activity including heteroscedasticity.
- Published in Journal of the Royal Statistical Science: Series C.