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Cramer-Rao, Rao-Blackwell and Lehmann-Scheffé, all give you ways to prove that a statistical estimator has the lowest variance possible. Is there any CS related work on the minimum variance estimator with limited space? In other words, a variance/space tradeoff theorem.

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