Optimal rates of convergence for convex set estimation from support functions

Mathematics – Statistics Theory

Scientific paper

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Scientific paper

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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