Article ID Journal Published Year Pages File Type
7548161 Statistics & Probability Letters 2018 7 Pages PDF
Abstract
Implementation of the spatially adaptive kernel estimator relies on choice of a 'global bandwidth'. We derive the closed-form asymptotic bias for this estimator with the aim of developing relevant selectors, and note non-uniform convergence hinders its usability for this purpose.
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Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation
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