Data di Pubblicazione:
2022
Abstract:
Multifold data structures are generally stored in high-dimensional objects
defined as nth-order tensors. Generalization of trilinear decompositions such as the
CANDECOMP/PARAFAC model can be used for modelling 4th order tensors. The
application of these techniques is, however, quite limited due to procedural com-
plexity and interpretational issues. These concerns increase when tensors contain
data with a compositional structure. This work aims at addressing these difficulties
through an application on Italian university staff.
defined as nth-order tensors. Generalization of trilinear decompositions such as the
CANDECOMP/PARAFAC model can be used for modelling 4th order tensors. The
application of these techniques is, however, quite limited due to procedural com-
plexity and interpretational issues. These concerns increase when tensors contain
data with a compositional structure. This work aims at addressing these difficulties
through an application on Italian university staff.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
CoDa, CANDECOMP/PARAFAC, logratio, higher order decomposition, parameter estimation
Elenco autori:
Simonacci, Violetta; Menini, Tullio; Gallo, Michele
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Book of short papers. IES 2022 Innovation & society 5.0: statistical and economic methodologies for quality assessment