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Nonparametric \(\phi\)-Divergence Estimation and Test for Model Selection

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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… Click to show full 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.

Keywords: model selection; test model; phi divergence; nonparametric phi

Journal Title: Journal of Animal Science
Year Published: 2020

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