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We revisit a semiparametric procedure for density estimation based on a convex combination of a nonparametric kernel density estimator and a parametric maximum likelihood estimator, with the mixing weight locally estimated by the bootstrap method. We establish the asymptotic properties of the resulting semiparametric estimator, and show that undersmoothing at the bootstrap step is necessary if the...
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