Estimation with infinite-dimensional exponential family and Fisher divergence

Kenji Fukumizu
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Abstract

Abstract Infinite dimensional exponential families have been theoretically studied, but their practical applications are still limited because empirical estimation is not straightforward. This paper first gives a brief survey of studies on the estimation method for infinite-dimensional exponential families. The method uses score matching, which is based on the Fisher divergence. The second topic is to investigate the Fisher divergence as a member of an extended family of divergences, which employ operators in defining divergences.
无限维指数族估计与Fisher散度
无限维指数族已经在理论上得到了研究,但由于经验估计并不简单,其实际应用仍然受到限制。本文首先简要介绍了无限维指数族估计方法的研究概况。该方法使用基于Fisher散度的分数匹配。第二个主题是研究Fisher散度作为一个扩展的散度族的成员,它使用算子来定义散度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.70
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0.00%
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