Fano Inequality

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Fano's method for minimax lower bounds works by packing M well-separated parameter values and showing no test can distinguish them. The bound is P (error) \geq 1 - (I (θ; X^{n}) + lo g 2) / lo g M . What is the role of the packing number M ?