Regularized Divergences Between Covariance Operators and Gaussian Measures on Hilbert Spaces

被引:5
作者
Ha Quang Minh [1 ]
机构
[1] RIKEN, Ctr Adv Intelligence Project, Chuo Ku, 1-4-1 Nihonbashi, Tokyo 1030027, Japan
关键词
Gaussian measures; Hilbert space; Covariance operators; Kullback-Leibler divergence; Renyi divergence; Regularized divergences; RADON-NIKODYM DERIVATIVES; KULLBACK-LEIBLER APPROXIMATION; PROBABILITY-MEASURES;
D O I
10.1007/s10959-020-01003-2
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This work presents an infinite-dimensional generalization of the correspondence between the Kullback-Leibler and Renyi divergences between Gaussian measures on Euclidean space and the Alpha Log-Determinant divergences between symmetric, positive definite matrices. Specifically, we present the regularized Kullback-Leibler and Renyi divergences between covariance operators and Gaussian measures on an infinite-dimensional Hilbert space, which are defined using the infinite-dimensional Alpha Log-Determinant divergences between positive definite trace class operators. We show that, as the regularization parameter approaches zero, the regularized Kullback-Leibler and Renyi divergences between two equivalent Gaussian measures on a Hilbert space converge to the corresponding true divergences. The explicit formulas for the divergences involved are presented in the most general Gaussian setting.
引用
收藏
页码:580 / 643
页数:64
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