Identification of outlying observations for large-dimensional data

DOI10.1080/02664763.2021.1993799OpenAlexW3210476104MaRDI QIDQ6099331

Xiaona Yang, Unnamed Author, Zhonghua Li, Yun-Fei Guo

Publication date: 19 June 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870021

zbMATH Keywords

asymptotic distributionoutlier identificationrobust statisticsmultiple hypothesis testinglarge-dimension statistics

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Outlier identification in high dimensions
• High-dimensional inference: confidence intervals, \(p\)-values and R-software \texttt{hdi}
• A test for the mean vector with fewer observations than the dimension
• Outlier detection for high-dimensional data
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Thresholding-based outlier detection for high-dimensional data
• Two-Sample Test of High Dimensional Means Under Dependence
• Multivariate Outlier Detection With High-Breakdown Estimators

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