Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation-Reference-Cited by-同舟云学术

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Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation

Published:2023-11-16 Issue: Volume: Page:
ISSN:1085-7117
Container-title:Journal of Agricultural, Biological and Environmental Statistics
language:en
Short-container-title:JABES

Author:

Shen Shirun,Zhou Huiya,He Kejun^ORCID,Zhou Lan

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s13253-023-00585-8.pdf

Reference44 articles.

1. Absil PA, Mahony R, Sepulchre R (2009) Optimization algorithms on matrix manifolds. Princeton University Press, Princeton

2. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723

3. Bosq D (2000) Linear processes in function spaces: theory and applications. Springer, New York

4. Cabrera BL, Schulz F (2017) Forecasting generalized quantiles of electricity demand: a functional data approach. J Am Stat Assoc 112(517):127–136

5. Chen L-H, Jiang C-R (2017) Multi-dimensional functional principal component analysis. Stat Comput 27(5):1181–1192

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