SMS scnews item created by John Ormerod at Fri 10 Mar 2017 1557
Expiry: 17 Mar 2017
Calendar1: 17 Mar 2017 1400-1500
CalLoc1: Carslaw 173
CalTitle1: Gaussian vectors, half-spaces, and convexity
Auth: firstname.lastname@example.org (assumed)
Statistics Seminar: Joe Neeman (University of Texas Austin) -- Gaussian vectors, half-spaces, and convexity
Let A be a subset of R^n and let B be a half-space with the same Gaussian
measure as A. For a pair of correlated Gaussian vectors X and Y, Pr(X \in
A, Y \in A) is smaller than Pr(X \in B, Y \in B); this was originally
proved by Borell, who also showed various other extremal properties of
half-spaces. For example, the exit time of an Ornstein-Uhlenbeck process
from A is stochastically dominated by its exit time from B.
We will discuss these (and other) inequalities using a kind of modified convexity.
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