Robust functional principal components for sparse longitudinal data
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2021/02/20
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Journal
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Indian UGC (journal)
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Refrences57
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Citations8
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Graciela Boente ORCID (unauthenticated)
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Matías Salibián-Barrera
Cite
Boente, Graciela, and Matías Salibián-Barrera. “Robust Functional Principal Components for Sparse Longitudinal Data”. METRON, vol. 79, no. 2, 2021, pp. 159-88, https://doi.org/10.1007/s40300-020-00193-3.
Boente, G., & Salibián-Barrera, M. (2021). Robust functional principal components for sparse longitudinal data. METRON, 79(2), 159-188. https://doi.org/10.1007/s40300-020-00193-3
Boente, Graciela, and Matías Salibián-Barrera. “Robust Functional Principal Components for Sparse Longitudinal Data”. METRON 79, no. 2 (2021): 159-88. https://doi.org/10.1007/s40300-020-00193-3.
Boente G, Salibián-Barrera M. Robust functional principal components for sparse longitudinal data. METRON. 2021;79(2):159-88.
Journal Category
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Principal component models for sparse functional data | Biometrika |
| 284 | 2000 |
| The spatial sign covariance operator: Asymptotic results and applications | Journal of Multivariate Analysis |
| 7 | 2019 |
| 10.3150/17-BEJ929 | Bernoulli |
| 2018 | |
Functional Principal Component Regression and Functional Partial Least‐squares Regression: An Overview and a Comparative Study | International Statistical Review |
| 48 | 2017 |
| Fast estimation of the median covariation matrix with application to online robust principal components analysis | TEST |
| 7 | 2017 |
Refrences Analysis
The category
Science: Mathematics 22
is the most frequently represented among the references in this article. It primarily includes studies from Biometrika The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Robust estimation of functional factor models with functional pairwise spatial signs | Computational Statistics |
| 2024 | |
| Robust Multivariate Functional Control Chart | Technometrics |
| 2024 | |
| Tree-based boosting with functional data | Computational Statistics |
| 2023 | |
| A data-adaptive dimension reduction for functional data via penalized low-rank approximation | Statistics and Computing |
| 2023 | |
| Functional principal component analysis for partially observed elliptical process | Computational Statistics & Data Analysis |
| 3 | 2023 |
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 7
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients and was published in 2022. The most recent citation comes from a 2024 study titled Robust estimation of functional factor models with functional pairwise spatial signs. This article reached its peak citation in 2023, with 4 citations. It has been cited in 6 different journals, 16% of which are open access. Among related journals, the Computational Statistics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.