Ontology highlight
ABSTRACT:
SUBMITTER: Liu J
PROVIDER: S-EPMC4184466 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence 20120101
Large-scale multiple testing tasks often exhibit dependence, and leveraging the dependence between individual tests is still one challenging and important problem in statistics. With recent advances in graphical models, it is feasible to use them to perform multiple testing under dependence. We propose a multiple testing procedure which is based on a Markov-random-field-coupled mixture model. The ground truth of hypotheses is represented by a latent binary Markov random-field, and the observed t ...[more]