A Numerical Rosenblatt Method for Forced Variable Independence
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908567126147072 |
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| author | Vavřička, Radek Sýkora, Tomáš |
| author_facet | Vavřička, Radek Sýkora, Tomáš |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_25521 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Numerical Rosenblatt Method for Forced Variable Independence Vavřička, Radek Sýkora, Tomáš Data Analysis, Statistics and Probability 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. |
| title | A Numerical Rosenblatt Method for Forced Variable Independence |
| topic | Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2509.25521 |