An Extended Mallows Model for Ranked Data Aggregation

DOI10.1080/01621459.2019.1573733zbMath1445.62040OpenAlexW2916893810WikidataQ128386871 ScholiaQ128386871MaRDI QIDQ5130619

Xiaodan Fan, Jun S. Liu, Minxuan Xu, Han Li

Publication date: 28 October 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2019.1573733

zbMATH Keywords

rank aggregationconsensus rankingKendall tau distancerank coefficient

Mathematics Subject Classification ID

Statistical ranking and selection procedures (62F07)

Related Items (6)

A generalized Mallows model based on \(\phi\)-divergence measures ⋮ Model fitting using partially ranked data ⋮ Bayesian latent variable model of mixed correlated rank and beta-binomial responses with missing data for the international statistical literacy project poster competition ⋮ Partition–Mallows Model and Its Inference for Rank Aggregation ⋮ Inferring a consensus problem list using penalized multistage models for ordered data ⋮ Bayesian analysis of rank data with covariates and heterogeneous rankers

Uses Software

• TopKLists

Cites Work

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• \texttt{TopKLists}: a comprehensive \texttt{R} package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
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• Combining Results of Microarray Experiments: A Rank Aggregation Approach
• Multistage Ranking Models
• Comparing Partial Rankings

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