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Outlier detection in high-dimensional regression model

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Publication:5349223
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DOI10.1080/03610926.2016.1140783zbMath1369.62130OpenAlexW2464984349MaRDI QIDQ5349223

Zhonghua Li, Tao Wang

Publication date: 23 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2016.1140783


zbMATH Keywords

bootstrapleave-one-outoutlier detectionhigh-dimensionaldistance correlationCook's distance


Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Measures of association (correlation, canonical correlation, etc.) (62H20) General nonlinear regression (62J02)


Related Items (6)

Robust difference-based outlier detection ⋮ A new correction approach for information criteria to detect outliers in regression modeling ⋮ Detection of outliers in high-dimensional data using nu-support vector regression ⋮ Asymmetric influence measure for high dimensional regression ⋮ Influence Diagnostics for High-Dimensional Lasso Regression ⋮ A new outlier detection method based on convex optimization: application to diagnosis of Parkinson’s disease




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