Coupling optional Polya trees---a Bayesian nonparametric approach to case-control studies

Coupling optional Polya trees---a Bayesian nonparametric approach to case-control studies

Neyman Seminar
Feb 10, 2011, 04:10 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Li Ma, Department of Statistics, Stanford University
Testing and characterizing the difference between two data samples (case vs control) is of fundamental interest in statistics. Parametric methods such as (logistic) regression-based approaches are often too restrictive in complex problems, while existing nonparametric methods do not scale well as the dimensionality increases and often provide no easy way to characterize the difference should it...