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A robust Parafac model for compositional data

Articolo
Data di Pubblicazione:
2017
Abstract:
A robust Tucker3 model for three-way compositional data is presented. The algorithm to compute the Tucker3 parameters is based on ALS procedure implemented with robust alternative measures as Comedian and correlation median. The algorithm is able to capture the features of the complex structure, avoiding the information loss problem that occurs when two-way analysis techniques are adopted and the outliers effects. Some evidences are illustrated performing the model to macroeconomic compositional data.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Aitchison geometry; Comedian; Compositions; log-ratio; MAD; outlier; Tucker3
Elenco autori:
DI PALMA, MARIA ANNA; Filzmoser, P; Gallo, M; Hron, K
Autori di Ateneo:
GALLO Michele
Link alla scheda completa:
https://unora.unior.it/handle/11574/120417
Pubblicato in:
JOURNAL OF APPLIED STATISTICS
Journal
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