A Numerical Rosenblatt Method for Forced Variable Independence

A novel numerical technique is presented to transform one random variable within a system toward statistical quasi-independence from any other random variable in the system. The method's applicability is demonstrated through a particle physics example where a classifier is rendered quasi-independent from an observable quantity.

Publication Details

Journal
ArXiv.org
Published
2025-09-29
Primary Topic
Alexander von Humboldt Studies
Type
article
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article

A Numerical Rosenblatt Method for Forced Variable Independence

ArXiv.org
Alexander von Humboldt Studies
article

A Numerical Rosenblatt Method for Forced Variable Independence

article en

Abstract

A novel numerical technique is presented to transform one random variable within a system toward statistical quasi-independence from any other random variable in the system. The method's applicability is demonstrated through a particle physics example where a classifier is rendered quasi-independent from an observable quantity.

ArXiv.org
Reduced inequalities
Openalex Percentile: Top 44%
Alexander von Humboldt Studies
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A Numerical Rosenblatt Method for Forced Variable Independence · ArXiv.org (2025) | TGRS Research Map | TGRS