A Numerical Rosenblatt Method for Forced Variable Independence
Data Analysis, Statistics and Probability
2025-10-01 v1
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.
Cite
@article{arxiv.2509.25521,
title = {A Numerical Rosenblatt Method for Forced Variable Independence},
author = {Radek Vavřička and Tomáš Sýkora},
journal= {arXiv preprint arXiv:2509.25521},
year = {2025}
}
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24 pages