Rank correlation estimators and their limiting distributions

DOI10.1007/s00362-009-0263-3zbMath1247.91143OpenAlexW2050908676WikidataQ96748982 ScholiaQ96748982MaRDI QIDQ451344

Wojciech Rejchel, Wojciech Niemiro

Publication date: 23 September 2012

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-009-0263-3

zbMATH Keywords

rankingU-statisticssupport vector machinesconvex minimizationdiscontinuous criterion functionlinear ranking rule

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Learning and adaptive systems in artificial intelligence (68T05) Linear programming (90C05) Statistical methods; economic indices and measures (91B82)

Related Items (1)

Lasso with convex loss: Model selection consistency and estimation

Cites Work

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• Hardness results for neural network approximation problems
• Bahadur representation of \(M_m\) estimates
• Ranking and empirical minimization of \(U\)-statistics
• Approximation Theorems of Mathematical Statistics
• Least empirical risk procedures in statistical inference
• The Limiting Distribution of the Maximum Rank Correlation Estimator
• Convex Analysis

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