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  • 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.
  • 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. (en)
Title
  • An Inference and Integration Approach for the Consolidation of Ranked Lists
  • An Inference and Integration Approach for the Consolidation of Ranked Lists (en)
skos:prefLabel
  • An Inference and Integration Approach for the Consolidation of Ranked Lists
  • An Inference and Integration Approach for the Consolidation of Ranked Lists (en)
skos:notation
  • RIV/00216224:14110/12:00060591!RIV13-MSM-14110___
http://linked.open...avai/riv/aktivita
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http://linked.open...iv/duvernostUdaju
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  • 121981
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14110/12:00060591
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Cross-entropy Monte Carlo; Kendall's tau; Moderate deviation; Partial list; Random degeneration; Rank aggregation; Spearman's footrule; Top-k ranked list (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [1D78F0636D18]
http://linked.open...i/riv/nazevZdroje
  • COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 41
http://linked.open...iv/tvurceVysledku
  • Budinská, Eva
  • Mysickova, Alena
  • Schimek, Michael G.
http://linked.open...ain/vavai/riv/wos
  • 000304853800017
issn
  • 0361-0918
number of pages
http://bibframe.org/vocab/doi
  • 10.1080/03610918.2012.625843
http://localhost/t...ganizacniJednotka
  • 14110
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