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Entropy-based test for generalized Gaussian distributions

Statistics Theory 2020-10-14 v1 Statistics Theory

Abstract

In this paper, we provide the proof of L2L^2 consistency for the kkth nearest neighbour distance estimator of the Shannon entropy for an arbitrary fixed k1.k\geq 1. We construct the non-parametric test of goodness-of-fit for a class of introduced generalized multivariate Gaussian distributions based on a maximum entropy principle. The theoretical results are followed by numerical studies on simulated samples.

Keywords

Cite

@article{arxiv.2010.06284,
  title  = {Entropy-based test for generalized Gaussian distributions},
  author = {Mehmet Siddik Cadirci and Dafydd Evans and Nikolai Leonenko and Vitalii Makogin},
  journal= {arXiv preprint arXiv:2010.06284},
  year   = {2020}
}
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