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Main Authors: Bai, Shuyang, Routh, Vishal
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2604.01399
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author Bai, Shuyang
Routh, Vishal
author_facet Bai, Shuyang
Routh, Vishal
contents We study conditional independence under infinite measures on punctured product spaces, a notion recently introduced for graphical modeling in multivariate extremes and Lévy processes. In contrast to classical probabilistic conditional independence, this concept is formulated through normalized restrictions of an infinite measure that reflects the non-product structure of the punctured space. We show that this non-standard notion admits a natural probabilistic characterization: it is equivalent to classical conditional independence between coordinate projections of a Poisson point process defined on the punctured space with the given infinite measure as its mean measure. In addition, we provide a functional characterization of the conditional independence concept at the level of the enumerated points of the Poisson point process. We further extend the framework from punctured Euclidean product spaces to a more general abstract setting, thereby broadening its scope of potential applications.
format Preprint
id arxiv_https___arxiv_org_abs_2604_01399
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Conditional Independence under Infinite Measures and Poisson Point Processes
Bai, Shuyang
Routh, Vishal
Statistics Theory
Probability
60G55, 62A09
We study conditional independence under infinite measures on punctured product spaces, a notion recently introduced for graphical modeling in multivariate extremes and Lévy processes. In contrast to classical probabilistic conditional independence, this concept is formulated through normalized restrictions of an infinite measure that reflects the non-product structure of the punctured space. We show that this non-standard notion admits a natural probabilistic characterization: it is equivalent to classical conditional independence between coordinate projections of a Poisson point process defined on the punctured space with the given infinite measure as its mean measure. In addition, we provide a functional characterization of the conditional independence concept at the level of the enumerated points of the Poisson point process. We further extend the framework from punctured Euclidean product spaces to a more general abstract setting, thereby broadening its scope of potential applications.
title Conditional Independence under Infinite Measures and Poisson Point Processes
topic Statistics Theory
Probability
60G55, 62A09
url https://arxiv.org/abs/2604.01399