I will discuss the problem of estimating an unknown compact, convex set in Euclidean space from a finite number of noisy measurements of its support function. In particular, I will explain the geometric ideas that lead to an achievable lower bound for minimax rates of convergence and also explain why the least squares estimator of Gardner et al (Ann. Statist. 2006) fails to achieve that rate in...