Optimal rates of convergence for convex set estimation from support functions

preprint2012arXivOpen access

Abstract

We present a minimax optimal solution to the problem of estimating a compact, convex set from finitely many noisy measurements of its support function. The solution is based on appropriate regularizations of the least squares estimator. Both fixed and random designs are considered.

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