Suppose a probability density function and its third derivative are bounded. A square-integrable unit-integral kernel for density estimation with first two moments zero and has bias of a kernel density estimator at most , by Taylor theorem with Lagrange remainder and moment cancellation. Independence gives variance at most . The Cauchy-Schwarz inequality bounds the expected centred absolute deviation by the square root of this variance. Adding the bias proves the inequality uniformly in . The choice gives expected absolute error .
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