Robust Linear Model Selection Based on Least Angle Regression
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2007/12/01
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Indian UGC (journal)
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Refrences1
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Citations97
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Jafar A Khan
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Stefan Van Aelst
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Ruben H Zamar
Cite
Khan, Jafar A, et al. “Robust Linear Model Selection Based on Least Angle Regression”. Journal of the American Statistical Association, vol. 102, no. 480, 2007, pp. 1289-9, https://doi.org/10.1198/016214507000000950.
Khan, J. A., Van Aelst, S., & Zamar, R. H. (2007). Robust Linear Model Selection Based on Least Angle Regression. Journal of the American Statistical Association, 102(480), 1289-1299. https://doi.org/10.1198/016214507000000950
Khan, Jafar A, Stefan Van Aelst, and Ruben H Zamar. “Robust Linear Model Selection Based on Least Angle Regression”. Journal of the American Statistical Association 102, no. 480 (2007): 1289-99. https://doi.org/10.1198/016214507000000950.
Khan JA, Van Aelst S, Zamar RH. Robust Linear Model Selection Based on Least Angle Regression. Journal of the American Statistical Association. 2007;102(480):1289-9.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1023/A:1010933404324 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| CR-Lasso: Robust cellwise regularized sparse regression | Computational Statistics & Data Analysis |
| 2024 | |
ROBOUT: a conditional outlier detection methodology for high-dimensional data | Statistical Papers |
| 2023 | |
| Robust statistical methods for high-dimensional data, with applications in tribology | Analytica Chimica Acta |
| 2023 | |
| Robust adaptive variable selection in ultra-high dimensional linear regression models | Journal of Statistical Computation and Simulation |
| 2023 | |
| Robust variable selection under cellwise contamination | Journal of Statistical Computation and Simulation |
| 1 | 2023 |
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 51
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Estimation and Decomposition of Downside Risk for Portfolios with Non-Normal Returns and was published in 2007. The most recent citation comes from a 2024 study titled CR-Lasso: Robust cellwise regularized sparse regression. This article reached its peak citation in 2010, with 10 citations. It has been cited in 56 different journals, 19% of which are open access. Among related journals, the Computational Statistics & Data Analysis cited this research the most, with 10 citations. The chart below illustrates the annual citation trends for this article.