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Journal of Statistical Computation and Simulation Volume 88, 2018 - Issue 1
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Original Articles

Multiple outliers detection in sparse high-dimensional regression

Tao WangInstitute of Statistics and LPMC, Nankai University, Tianjin, People's Republic of China;School of Mathematical Sciences, Huaiyin Normal University, Huaian, People's Republic of ChinaView further author information
,
Qun LiSchool of Mathematical Sciences, Nankai University, Tianjin, People's Republic of ChinaView further author information
,
Bin ChenSchool of Mathematics and Statistics, Jiangsu Normal University, Xuzhou, People's Republic of ChinaView further author information
&
Zhonghua LiInstitute of Statistics and LPMC, Nankai University, Tianjin, People's Republic of ChinaCorrespondence[email protected]
View further author information
Pages 89-107 | Received 21 Jul 2016, Accepted 11 Sep 2017, Published online: 20 Sep 2017

Citations (12)

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Read on this site (7)

Mingwei Hu, Mei Li & Lingchen Kong. (2024) Trustworthy regularized huber regression for outlier detection. Journal of Statistical Computation and Simulation 94:5, pages 1121-1137.
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Amadou Barry, Nikhil Bhagwat, Bratislav Misic, Jean-Baptiste Poline & Celia M. T. Greenwood. (2022) Asymmetric influence measure for high dimensional regression. Communications in Statistics - Theory and Methods 51:16, pages 5461-5487.
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Pakize Taylan, Fatma Yerlikaya-Özkurt, Burcu Bilgiç Uçak & Gerhard-Wilhelm Weber. (2021) A new outlier detection method based on convex optimization: application to diagnosis of Parkinson’s disease. Journal of Applied Statistics 48:13-15, pages 2421-2440.
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Emre Dünder. (2021) A new correction approach for information criteria to detect outliers in regression modeling. Communications in Statistics - Theory and Methods 50:10, pages 2451-2465.
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Chun Gun Park & Inyoung Kim. (2020) Robust difference-based outlier detection. Communications in Statistics - Theory and Methods 49:22, pages 5553-5577.
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Shuang Xu & Chun-Xia Zhang. (2019) Robust sparse regression by modeling noise as a mixture of gaussians. Journal of Applied Statistics 46:10, pages 1738-1755.
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Xuqing Liu, Feng Gao, Yandong Wu & Zhiguo Zhao. (2018) Detecting outliers and influential points: an indirect classical Mahalanobis distance-based method. Journal of Statistical Computation and Simulation 88:11, pages 2013-2033.
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Articles from other publishers (5)

Jiaxin Cai, Weiwei Hu, Yuhui Yang, Hong Yan & Fangyao Chen. (2024) Outlier detection in spatial error models using modified thresholding-based iterative procedure for outlier detection approach. BMC Medical Research Methodology 24:1.
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Jitao Zhong, Dixin Wang, Hongtong Wu, Peng Wang, Minqiang Yang, Hong Peng & Bin Hu. (2022) Filterable sample consensus based on angle variance for pupil segmentation. Digital Signal Processing 130, pages 103695.
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Fazal Aman, Azhar Rauf, Rahman Ali, Jamil Hussain & Ibrar Ahmed. (2021) Balancing Complex Signals for Robust Predictive Modeling. Sensors 21:24, pages 8465.
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Vilijandas Bagdonavičius & Linas Petkevičius. (2019) A new multiple outliers identification method in linear regression. Metrika 83:3, pages 275-296.
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Yixin Wang & Stefan Van Aelst. (2018) Robust variable screening for regression using factor profiling. Statistical Analysis and Data Mining: The ASA Data Science Journal 12:2, pages 70-87.
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