Abstract
We establish the asymptotic normality of the G-measure of the symmetric difference between the level set and a plug-in-type estimator of it formed by replacing the density in the definition of the level set by a kernel density estimator. Our proof will highlight the efficacy of Poissonization methods in the treatment of large sample theory problems of this kind. © Institute of Mathematical Statistics, 2009.
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APA
Mason, D. M., & Polonik, W. (2009). Asymptotic normality of plug-in level set estimates. Annals of Applied Probability, 19(3), 1108–1142. https://doi.org/10.1214/08-AAP569
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