Distances between nested densities and a measure of the impact of the
prior in Bayesian statistics

Distances between nested densities and a measure of the impact of the prior in Bayesian statistics

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In this paper we propose tight upper and lower bounds for the Wasserstein distance between any two {{univariate continuous distributions}} with probability densities $p_1$ and $p_2$ having nested supports. These explicit bounds are expressed in terms of the derivative of the likelihood ratio $p_1/p_...

書誌詳細
主要な著者:	Ley, C, Reinert, G, Swan, Y
フォーマット:	Journal article
出版事項:	2016

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