Matrix reshaping for statistics

Matrix reshaping for statistics

The reshaping of a block matrix vectorizes, transposes and stacks on top of each other the blocks of the matrix itself. This paper investigates the statistical applications of matrix reshaping to three-way data, partial traces and measures of multivariate shape.

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Veröffentlicht in:Statistics & probability letters 2025-04, Vol.219, p.110347, Article 110347
1. Verfasser: Loperfido, Nicola
Format: Artikel
Sprache:eng
Schlagworte:
Block matrix
Multivariate kurtosis
Multivariate skewness
Partial trace
Tensor slices
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Beschreibung
Zusammenfassung:The reshaping of a block matrix vectorizes, transposes and stacks on top of each other the blocks of the matrix itself. This paper investigates the statistical applications of matrix reshaping to three-way data, partial traces and measures of multivariate shape.
ISSN:0167-7152
DOI:10.1016/j.spl.2024.110347