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Minimax lower bound using Assouad's method

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Minimax rates of convergence reveal the complexity in the worst case for a statistical model of interest. In this talk, we consider the problem of obtaining lower bounds for the minimax risk. Specifically, we will introduce Assouad’s lemma, and give several examples of its use in nonparametric estimation problems.

This talk is part of the Statistics Reading Group series.

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