Dimension reduction is a widely used problem-solving approach in STEM, and design is no exception. As Uncle Rams famously said, “Good design is as little design as possible.” ...

Course Topics Tuesday, October 28: Often researchers are faced with data in very high dimensions (e.g. too many predictors for a regression model), or must come up with a rule to classify data in ...

In this paper we propose an efficient model-based sufficient dimension reduction method to detect interactions. We introduce a new class of multivariate adaptive varying index models (MAVIM) to ...