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On four-way CP model estimation efficiency

Articolo
Data di Pubblicazione:
2022
Abstract:
The latent structure of four-dimensional tensors can be investigated by means of the four-way CANDECOMP/PARAFAC model. This technique is seldom used because its estimating design is challenging from an algorithmic and interpretational stand- point. Parameter estimation with a least-squares approach can be computationally costly, especially under difficult conditions such as factor collinearity and model over-specification. In this work, we implement a 4th-order extension of the efficient trilinear procedure INT-2 to tackle estimating setbacks and test it in a simulation study.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
AQLD · CANDECOMP/PARAFAC · Computational efficiency · Multi- way data · QALS · 4th-order tensor
Elenco autori:
Simonacci, Violetta; Gallo, Michele
Autori di Ateneo:
GALLO Michele
Link alla scheda completa:
https://unora.unior.it/handle/11574/209858
Link al Full Text:
https://unora.unior.it//retrieve/handle/11574/209858/104078/s00180-022-01271-y.pdf
Pubblicato in:
COMPUTATIONAL STATISTICS
Journal
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URL

https://link.springer.com/article/10.1007/s00180-022-01271-y
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