Partially functional linear regression in reproducing kernel Hilbert spaces
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/10/01
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Indian UGC (journal)
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Refrences26
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Citations9
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Xia Cui
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Hongmei Lin ORCID (unauthenticated)
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Heng Lian ORCID (unauthenticated)
Cite
Cui, Xia, et al. “Partially Functional Linear Regression in Reproducing Kernel Hilbert Spaces”. Computational Statistics &Amp; Data Analysis, vol. 150, 2020, p. 106978, https://doi.org/10.1016/j.csda.2020.106978.
Cui, X., Lin, H., & Lian, H. (2020). Partially functional linear regression in reproducing kernel Hilbert spaces. Computational Statistics &Amp; Data Analysis, 150, 106978. https://doi.org/10.1016/j.csda.2020.106978
Cui, Xia, Hongmei Lin, and Heng Lian. “Partially Functional Linear Regression in Reproducing Kernel Hilbert Spaces”. Computational Statistics &Amp; Data Analysis 150 (2020): 106978. https://doi.org/10.1016/j.csda.2020.106978.
Cui X, Lin H, Lian H. Partially functional linear regression in reproducing kernel Hilbert spaces. Computational Statistics & Data Analysis. 2020;150:106978.
Journal Categories
Science
Mathematics
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Minimax and Adaptive Prediction for Functional Linear Regression | Journal of the American Statistical Association |
| 88 | 2012 |
| A reproducing kernel Hilbert space approach to functional linear regression | The Annals of Statistics |
| 2010 | |
| Partial functional linear regression | Journal of Statistical Planning and Inference |
| 108 | 2009 |
| Smoothing splines estimators for functional linear regression | The Annals of Statistics |
| 2009 | |
| Penalized Clustering of Large-Scale Functional Data With Multiple Covariates | Journal of the American Statistical Association |
| 31 | 2008 |
Refrences Analysis
The category
Science: Mathematics 16
is the most frequently represented among the references in this article. It primarily includes studies from The Annals of Statistics 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 |
|---|---|---|---|---|
| Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces | Journal of the Korean Statistical Society |
| 1 | 2023 |
| Covariance estimation error of incomplete functional data under RKHS framework | Applied Mathematics and Computation |
| 2023 | |
Growing-dimensional partially functional linear models: non-asymptotic optimal prediction error | Physica Scripta |
| 4 | 2023 |
Optimal prediction for kernel-based semi-functional linear regression | Analysis and Applications |
| 2023 | |
| Statistical inference in the partial functional linear expectile regression model | Science China Mathematics |
| 3 | 2022 |
Citations Analysis
The category
Science: Mathematics 7
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Partial functional linear regression with autoregressive errors and was published in 2020. The most recent citation comes from a 2023 study titled Optimal prediction for kernel-based semi-functional linear regression. This article reached its peak citation in 2023, with 4 citations. It has been cited in 8 different journals. Among related journals, the Communications in Statistics - Theory and Methods cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.