On a connection between Stein characterizations and Fisher information
Christophe Ley, Yvik Swan

TL;DR
This paper extends Stein characterizations of probability distributions by linking them to generalized Fisher information through a new factorization of the Stein operator, enhancing understanding of distributional properties.
Contribution
It introduces a generalized density approach to Stein characterizations and establishes a connection with information distances like Fisher information.
Findings
Stein operator factorization in terms of a generalized score function
Connection established between Stein characterizations and Fisher information
Enhanced understanding of distributional properties through generalized approaches
Abstract
We generalize the so-called density approach to Stein characterizations of probability distributions. We prove an elementary factorization property of the resulting Stein operator in terms of a generalized (standardized) score function. We use this result to connect Stein characterizations with information distances such as the generalized (standardized) Fisher information.
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Taxonomy
TopicsRandom Matrices and Applications · Point processes and geometric inequalities · Advanced Combinatorial Mathematics
