Carnegie Mellon University - Department of Statistics and Machine Learning
I will discuss three related topics: estimating manifolds, estimating ridges and estimating persistent homology. All three problems are aimed at the problem of extracting topological information from point clouds. This is joint work with many people.
Larry Wasserman is Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University. He graduated from the University of Toronto in 1988. After a brief stint as an animal trainer he took a position at Carnegie Mellon and has been there ever since except for a brief sabbatical in Uzbekistan.