An Inference and Integration Approach for the Consolidation of Ranked Lists

DOI10.1080/03610918.2012.625843zbMath1347.62076OpenAlexW1984330953WikidataQ61883209 ScholiaQ61883209MaRDI QIDQ4905912

Eva Budinská, Alena Myšičková, Michael G. Schimek

Publication date: 21 February 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11858/00-001M-0000-000E-E870-3

zbMATH Keywords

moderate deviationrank aggregationKendall's \(\tau\)Spearman's footrulerandom degenerationcross-entropy Monte Carlopartial listtop-\(k\) ranked list

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Statistical ranking and selection procedures (62F07) Nonparametric inference (62G99)

Related Items (3)

A novel method for estimating the common signals for consensus across multiple ranked lists ⋮ \texttt{TopKLists}: a comprehensive \texttt{R} package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists ⋮ Detecting the end of agreement between two long ranked lists

Uses Software

• R

Cites Work

• Unnamed Item
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• Ideal spatial adaptation by wavelet shrinkage
• Comparing Top k Lists
• Combining Results of Microarray Experiments: A Rank Aggregation Approach
• A NEW MEASURE OF RANK CORRELATION

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