Ítem
Agencia Estatal de Investigación | |
Saperas Riera, Jordi
Mateu i Figueras, Glòria Martín Fernández, Josep Antoni |
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desembre 2023 | |
Lasso regression methods include a penalty function expressed in terms of a norm defined in the space of model coefficients. The norm plays a key role as regards the way coefficients can become irrelevant in the model. For models with a compositional covariate, the norm should be coherent with the Aitchison geometry. The proposed method is based on a newly-defined compositional norm called L1 pairwise logratio. The novel approach allows one to construct an appropriate basis through a sequential binary partition for discriminating between balances that influence the response variable and those that have no effect. This generalised Lasso regression scheme is illustrated with the analysis of a geochemical data set This research was supported by the Ministerio de Ciencia e Innovación under the project “CODA-GENERA” (Ref. PID2021-123833OB-I00) and the grant PRE2019-090976; and by the Agència de Gestió d’Ajuts Universitaris i de Recerca of the Generalitat de Catalunya under the project “COSDA” (Ref. 2021SGR01197) Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier |
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application/pdf | |
http://hdl.handle.net/10256/24248 | |
eng | |
Elsevier | |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.gexplo.2023.107327 info:eu-repo/semantics/altIdentifier/issn/0375-6742 info:eu-repo/semantics/altIdentifier/eissn/1879-1689 PID2021-123833OB-I00 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123833OB-I00/ES/GENERATION AND TRANSFER OF COMPOSITIONAL DATA ANALYSIS KNOWLEDGE/ |
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Reconeixement 4.0 Internacional | |
http://creativecommons.org/licenses/by/4.0 | |
Anàlisi de regressió
Regression analysis |
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Lasso regression method for a compositional covariate regularised by the norm L1 pairwise logratio | |
info:eu-repo/semantics/article | |
DUGiDocs |