A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances

DOI10.1007/s11336-016-9505-1zbMath1345.62144OpenAlexW2465547404WikidataQ39637946 ScholiaQ39637946MaRDI QIDQ316726

Antonio D'Ambrosio, Willem J. Heiser

Publication date: 27 September 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-016-9505-1

zbMATH Keywords

Kemeny distanceconsensus rankingprediction treespreference rankings

Mathematics Subject Classification ID

Statistical ranking and selection procedures (62F07) Applications of statistics to psychology (62P15)

Related Items

Comparing boosting and bagging for decision trees of rankings, Partial evaluation in rank aggregation problems, A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings, Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings, Median constrained bucket order rank aggregation, Approaching the rank aggregation problem by local search-based metaheuristics, The Bradley-Terry regression trunk approach for modeling preference data with small trees, Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach, A differential evolution algorithm for finding the median ranking under the Kemeny axiomatic approach, Efficient algorithms using subiterative convergence for Kemeny ranking problem, Approaching rank aggregation problems by using evolution strategies: the case of the optimal bucket order problem, Regression trees for detecting preference patterns from rank data

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