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  An Inference and Integration Approach for the Consolidation of Ranked Lists

Schimek, M. G., Mysickova, A., & Budinská, E. (2012). An Inference and Integration Approach for the Consolidation of Ranked Lists. Communications in Statistics - Simulation and Computation, 41(7), 1152-1166. doi:10.1080/03610918.2012.625843.

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 Urheber:
Schimek, Michael G.1, Autor
Mysickova, Alena2, Autor           
Budinská, Eva3, Autor
Affiliations:
1 Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria, ou_persistent22              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, Berlin, Germany, ou_1433547              
3 Swiss Institute of Bioinformatics, Lausanne, Switzerlandand Institute of Biostatistics and Analyses, Masaryk University, Brno, Czech Republic, ou_persistent22              

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Schlagwörter: Cross-entropy Monte Carlo, Kendall's τ, Moderate deviation, Partial list, Random degeneration, Rank aggregation, Spearman's footrule, Top-k ranked list
 Zusammenfassung: In this article, we describe a new approach that combines the estimation of the lengths of highly conforming sublists with their stochastic aggregation, to deal with two or more rankings of the same set of objects. The goal is to obtain a much smaller set of informative common objects in a new rank order. The input lists can be of large or huge size, their rankings irregular and incomplete due to random and missing assignments. A moderate deviation-based inference procedure and a cross-entropy Monte Carlo technique are used to handle the combinatorial complexity of the task. Two alternative distance measures are considered that can accommodate truncated list information. Finally, the outlined approach is applied to simulated data that was motivated by microarray meta-analysis, an important field of application.

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Sprache(n): eng - English
 Datum: 2012-04-022012-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1080/03610918.2012.625843
 Art des Abschluß: -

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Titel: Communications in Statistics - Simulation and Computation
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Taylor & Francis
Seiten: - Band / Heft: 41 (7) Artikelnummer: - Start- / Endseite: 1152 - 1166 Identifikator: ISSN: 0361-0918