Penalized Canonical Correlation Analysis for MEG Data

Penalized Canonical Correlation Analysis for MEG Data

Canonical correlation analysis is a statistical method used to examine linear relationships between two sets of variables measured on the same statistical units, by forming highly correlated linear combinations of the variables in each set. This method cannot be used in the context of high-dimension...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Koskinen, Juuso
Muut tekijät: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Matematiikan ja tilastotieteen laitos, Department of Mathematics and Statistics, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2024
Aiheet:
interoception
temperamental trait
magnetoencephalography
canonical correlation analysis
lasso
penalized canonical correlation analysis
Tilastotiede
Statistics
4043
Linkit: https://jyx.jyu.fi/handle/123456789/98198

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