The least favorable noise

Suppose that a random variable X of interest is observed perturbed by independent additive noise Y. This paper concerns the "the least favorable perturbation" \hat Y_\ep, which maximizes the prediction error E(X-E(X|X+Y))^2 in the class of Y with \var (Y)\leq \ep. We find a characterization of the answer to... Show more