For each , choose the continuous probability density functionsThe second is at least and integrates to one. Their expected values differ byWriting givesThe supplied product bound, also obtained from the chi-squared divergence of product measures, impliesFor the final elementary estimate, compare the exponential series with the geometric series: for . Thus the overlap of the product laws is at least . Part (b) now gives the explicit mean-estimation minimax lower bound for continuous densitiesSo one may take , uniformly for all . The alternatives are allowed to depend on , because the minimax risk takes a supremum over all continuous probability density functions separately at each sample size.
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