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This paper introduces a computationally tractable density estimator
that has the same asymptotic variance as the classical Nadaraya-Watson
density estimator but whose asymptotic bias is zero. We achieve this result
using a two stage estimator that applies a multiplicative bias correction
to an oversmooth pilot estimator. Simulations show that our asymptotic
results are available for samples as low as , where we see an improvement of as much as 20% over the traditionnal estimator.
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