A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances
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Publication:316726
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
Statistical ranking and selection procedures (62F07) Applications of statistics to psychology (62P15)
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Cites Work
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- Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach
- The regression trunk approach to discover treatment covariate interaction
- Probabilistic d-clustering
- Mixtures of distance-based models for ranking data
- A mixture of experts model for rank data with applications in election studies
- Classifying densities using functional regression trees: applications in oceanology
- Metric methods for analyzing partially ranked data
- Probability models on rankings
- Multivariate data analysis and modeling through classification and regression trees
- The analysis of rank ordered preference data based on Bradley-Terry type models
- Multilevel logistic regression for polytomous data and rankings
- Geometric representation of association between categories
- Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation
- Distance-based tree models for ranking data
- Mixed-effects analyses of rank-ordered data
- Exploring Voting Blocs Within the Irish Electorate
- NON-NULL RANKING MODELS. I
- Analysing Partial Ranks by Using Smoothed Paired Comparison Methods: An Investigation of Value Orientation in Europe
- Multivariate Regression Trees for Analysis of Abundance Data
- Preference Learning
- Preferential Arrangements
- Modelling the Effect of Subject-Specific Covariates in Paired Comparison Studies with an Application to University Rankings
- A new rank correlation coefficient with application to the consensus ranking problem
- Multistage Ranking Models