Inferring the finest pattern of mutual independence from data

For a random variable \(X\), we are interested in the blind extraction of its finest mutual independence pattern \(\mu ( X )\). We introduce a specific kind of independence that we call dichotomic. If \(\Delta ( X )\) stands for the set of all patterns of dichotomic independence that hold for \(X\),...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Marrelec, G, Giron, A
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Mathematics - Statistics Theory Normal distribution Random variables Statistics - Machine Learning Statistics - Methodology Statistics - Theory
Online-Zugang:	Volltext
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