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A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions

Information Theory 2018-12-07 v2 math.IT

Abstract

This short note presents results about the symmetric Jensen-Shannon divergence between two discrete mixture distributions p1p_1 and p2p_2. Specifically, for i=1,2i=1,2, pip_i is the mixture of a common distribution qq and a distribution p~i\tilde{p}_i with mixture proportion λi\lambda_i. In general, p~1p~2\tilde{p}_1\neq \tilde{p}_2 and λ1λ2\lambda_1\neq\lambda_2. We provide experimental and theoretical insight to the behavior of the symmetric Jensen-Shannon divergence between p1p_1 and p2p_2 as the mixture proportions or the divergence between p~1\tilde{p}_1 and p~2\tilde{p}_2 change. We also provide insight into scenarios where the supports of the distributions p~1\tilde{p}_1, p~2\tilde{p}_2, and qq do not coincide.

Keywords

Cite

@article{arxiv.1812.02059,
  title  = {A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions},
  author = {Bernhard C. Geiger},
  journal= {arXiv preprint arXiv:1812.02059},
  year   = {2018}
}

Comments

four-page tech note

R2 v1 2026-06-23T06:32:51.094Z