Comments on ``Data science, big data and statistics

DOI10.1007/s11749-019-00648-4zbMath1428.62031OpenAlexW2936525286MaRDI QIDQ5970971

Stefan Van Aelst, Ruben H. Zamar

Publication date: 18 September 2019

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/661164

zbMATH Keywords

statisticsbig datadata science

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Foundations and philosophical topics in statistics (62A01) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of big data and data science (62R07)

Uses Software

• ElemStatLearn

Cites Work

• The shooting S-estimator for robust regression
• Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination
• A general trimming approach to robust cluster analysis
• Linear grouping using orthogonal regression
• Propagation of outliers in multivariate data
• Building a robust linear model with forward selection and stepwise procedures
• Multivariate location and scatter matrix estimation under cellwise and casewise contamination
• Stahel-Donoho estimators with cellwise weights
• Robust Linear Clustering
• Robust Linear Model Selection Based on Least Angle Regression
• Robust variable screening for regression using factor profiling

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