An Approach to Canonical Correlation Analysis Based on Rényi’s Pseudodistances

An Approach to Canonical Correlation Analysis Based on Rényi’s Pseudodistances

Canonical Correlation Analysis (CCA) infers a pairwise linear relationship between two groups of random variables, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="bold-italic">X</mi...

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Bibliographic Details
Main Authors: María Jaenada, Pedro Miranda, Leandro Pardo, Konstantinos Zografos
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Entropy
Subjects:
Information Canonical Correlation Analysis
Kullback–Leibler divergence
mutual information
Renyi’s pseudodistances
robustness
consistency
Online Access:https://www.mdpi.com/1099-4300/25/5/713

Internet

https://www.mdpi.com/1099-4300/25/5/713

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