Empirical likelihood in single-index partially functional linear model with missing observations
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/07/07
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Indian UGC (journal)
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Refrences36
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Citations1
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Yan-Ping Hu School of Mathematical Sciences, Tongji University, Shanghai, P.R. China
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Han-Ying Liang School of Mathematical Sciences, Tongji University, Shanghai, P.R. China
Cite
Hu, Yan-Ping, and Han-Ying Liang. “Empirical Likelihood in Single-Index Partially Functional Linear Model With Missing Observations”. Communications in Statistics - Theory and Methods, vol. 53, no. 3, 2022, pp. 882-08, https://doi.org/10.1080/03610926.2022.2094413.
Hu, Y.-P., & Liang, H.-Y. (2022). Empirical likelihood in single-index partially functional linear model with missing observations. Communications in Statistics - Theory and Methods, 53(3), 882-908. https://doi.org/10.1080/03610926.2022.2094413
Hu, Yan-Ping, and Han-Ying Liang. “Empirical Likelihood in Single-Index Partially Functional Linear Model With Missing Observations”. Communications in Statistics - Theory and Methods 53, no. 3 (2022): 882-908. https://doi.org/10.1080/03610926.2022.2094413.
Hu YP, Liang HY. Empirical likelihood in single-index partially functional linear model with missing observations. Communications in Statistics - Theory and Methods. 2022;53(3):882-908.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Spline estimators for the functional linear model | 2003 | |||
| Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random | Computational Statistics & Data Analysis |
| 13 | 2019 |
| Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties | Journal of the American Statistical Association |
| 5,078 | 2001 |
| Partially functional linear regression in reproducing kernel Hilbert spaces | Computational Statistics & Data Analysis |
| 9 | 2020 |
| Regression imputation in the functional linear model with missing values in the response | Journal of Statistical Planning and Inference |
| 22 | 2019 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Partially Functional Linear Models with Linear Process Errors | Mathematics |
| 2023 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics | 1 |
The category
Science: Mathematics 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Partially Functional Linear Models with Linear Process Errors and was published in 2023. The most recent citation comes from a 2023 study titled Partially Functional Linear Models with Linear Process Errors. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Mathematics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.