STA 290 Seminar Series
DATE: Thursday November 9th, 4:10pm
LOCATION: MSB 1147, Colloquium Room
SPEAKER: Hans-Georg Müller, Distinguished Professor of Statistics, UC Davis
TITLE: “Fréchet Regression”
ABSTRACT: Samples of densities and other non-Euclidean data are increasingly encountered in data analysis and meaningful notions of mean and regression for such data are of interest. This motivates a general class of regression models that relate responses consisting of random objects in a metric space with Euclidean predictors. In extension of the classical concept of Fréchet means (Fréchet 1948), we introduce conditional Fréchet means, which can be estimated with generalized versions of both global least squares regression and local weighted least squares smoothing (joint work with Alex Petersen).
