2020
DOI: 10.16929/as/2020.2349.162
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Nonparametric \(\phi\)-Divergence Estimation and Test for Model Selection

Abstract: In this paper, we study a bias reduced kernel density estimator and derive a nonparametric \(\phi\)-divergence estimator based on this density estimator. We investigate the asymptotic properties of these two estimators and we formulate an asymptotically standard normal test for model selection.

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