Lasso regularization for mixture experiments with noise variables

We apply classical and Bayesian lasso regularizations to a family of models with the presence of mixture and process variables. We analyse the performance of these estimates with respect to ordinary least squares estimators by a simulation study and a real data application. Our results demonstrate t...

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Hauptverfasser:	González-Navarrete, Manuel, Manríquez-Méndez, Fabián, Pereira-Barahona, Manuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Applications Statistics - Methodology
Online-Zugang:	Volltext bestellen
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