Ensemble Linear Subspace Analysis of High-Dimensional Data

Regression models provide prediction frameworks for multivariate mutual information analysis that uses information concepts when choosing covariates (also called features) that are important for analysis and prediction. We consider a high dimensional regression framework where the number of covariat...

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Bibliografski detalji

Glavni autori:	S. Ejaz Ahmed, Saeid Amiri, Kjell Doksum
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-03-01
Serija:	Entropy
Teme:	ensembling high-dimensional data Lasso elastic net penalty methods prediction
Online pristup:	https://www.mdpi.com/1099-4300/23/3/324
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