Analysis and Probability Seminar: “Big Data and Floating Body”

Tuesday March 5, 2019 at 2:30 PM in Yost 306

Speaker: Carsten Schütt, University of Kiel


Little known relations of the renown concept of the halfspace depth for multivariate data with notions from convex and affine geometry are discussed. Halfspace depth may be regarded as a measure of symmetry for random vectors. As such, the depth stands as a generalization of a measure of symmetry for convex sets, well studied in geometry. Under a mild assumption, the upper level sets of the halfspace depth coincide with the convex floating bodies used in the definition of the affine surface area for convex bodies in Euclidean spaces.


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