Stochastic Modeling Lab

This lab is focused on designing, refining and inferring model structures in tasks with large, heterogeneous data sources. The lab is also developing methodologies for error-rate control and prioritization in ranking, selection and data integration tasks.

Related CPCP Publications

Multiset statistics for gene set analysis. Newton MA, Wang Z. Annual Review of Statistics and Its Application 2:95-111, 2015

Publication details

Making the cut: improved ranking and selection for large-scale inference. Henderson NC, Newton MA. Journal of the Royal Statistical Society Series B, doi: 10.1111/rssb.12131, 2015

Publication details

Lead

Michael Newton

Investigators

Xiuyu Ma

Tien Vo

Huikun Zhang

Resources

Rolemodel software

rvalues software