Seminar series
Date
Mon, 03 Jun 2013
Time
15:45 -
16:45
Location
Oxford-Man Institute
Speaker
DOMINIQUE PICARD
Organisation
Université Paris Diderot
Convergence of the Bayes posterior measure is considered in canonical statistical settings (like density estimation or nonparametric regression) where observations sit on a geometrical object such as a compact manifold, or more generally on a compact metric space verifying some conditions.
A natural geometric prior based on randomly rescaled solutions of the heat equation is considered. Upper and lower bound posterior contraction rates are derived.