Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix-Reference-Cited by-同舟云学术

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Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix

Published:2025-01 Issue: Volume:201 Page:108042
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Chan Tak-Shing T.,Gibberd Alex^ORCID

Funder

EPSRC

Publisher

Elsevier BV

Reference28 articles.

1. A generalized least-square matrix decomposition;Allen;J. Am. Stat. Assoc.,2014

2. Gene expression during the life cycle of Drosophila melanogaster;Arbeitman;Science,2002

3. Determining the number of factors in approximate factor models;Bai;Econometrica,2002

4. Cross-validation of component models: a critical look at current methods;Bro;Anal. Bioanal. Chem.,2008

5. Derivative preprocessing and optimal corrections for baseline drift in multivariate calibration;Brown;Appl. Spectrosc.,2000

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