| SCHIMEK, Michael G., Alena MYSICKOVA a Eva BUDINSKÁ. An Inference and Integration Approach for the Consolidation of Ranked Lists. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION. PHILADELPHIA: TAYLOR & FRANCIS INC, 2012, roč. 41, č. 7, s. 1152-1166. ISSN 0361-0918. Dostupné z: https://dx.doi.org/10.1080/03610918.2012.625843. |
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@article{989197,
author = {Schimek, Michael G. and Mysickova, Alena and Budinská, Eva},
article_location = {PHILADELPHIA},
article_number = {7},
doi = {http://dx.doi.org/10.1080/03610918.2012.625843},
keywords = {Cross-entropy Monte Carlo; Kendall's tau; Moderate deviation; Partial list; Random degeneration; Rank aggregation; Spearman's footrule; Top-k ranked list},
language = {eng},
issn = {0361-0918},
journal = {COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION},
title = {An Inference and Integration Approach for the Consolidation of Ranked Lists},
volume = {41},
year = {2012}
}
TY - JOUR
ID - 989197
AU - Schimek, Michael G. - Mysickova, Alena - Budinská, Eva
PY - 2012
TI - An Inference and Integration Approach for the Consolidation of Ranked Lists
JF - COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
VL - 41
IS - 7
SP - 1152-1166
EP - 1152-1166
PB - TAYLOR & FRANCIS INC
SN - 03610918
KW - Cross-entropy Monte Carlo
KW - Kendall's tau
KW - Moderate deviation
KW - Partial list
KW - Random degeneration
KW - Rank aggregation
KW - Spearman's footrule
KW - Top-k ranked list
N2 - 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.
ER -
SCHIMEK, Michael G., Alena MYSICKOVA a Eva BUDINSKÁ. An Inference and Integration Approach for the Consolidation of Ranked Lists. \textit{COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION}. PHILADELPHIA: TAYLOR \&{} FRANCIS INC, 2012, roč.~41, č.~7, s.~1152-1166. ISSN~0361-0918. Dostupné z: https://dx.doi.org/10.1080/03610918.2012.625843.
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