Analysis of ranking data

Cites Work

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A generative model for rank data based on insertion sort algorithm
A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances
Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes
Statistical methods for ranking data
Mixtures of weighted distance-based models for ranking data with applications in political studies
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians
\texttt{TopKLists}: a comprehensive \texttt{R} package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
Mixtures of distance-based models for ranking data
A mixture model for preferences data analysis
Metric methods for analyzing partially ranked data
Intergroup diversity and concordance for ranking data: An approach via metrics for permutations
Specifying and testing econometric models for rank-ordered data
Analysis of incomplete blocks for rankings
Probability models on rankings
The relationship between Luce's choice axiom, Thurstone's theory of comparative judgment, and the double exponential distribution
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A novel method for estimating the common signals for consensus across multiple ranked lists
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A novel sandwich algorithm for empirical Bayes analysis of rank data
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Bayesian analysis of order-statistics models for ranking data
Factor analysis for paired ranked data with application on parent-child value orientation preference data
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NON-NULL RANKING MODELS. I
Factor Analysis for Ranked Data with Application to a Job Selection Attitude Survey
Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies
Average rank correlation statistics in the presence of ties
Normal Order Statistics as Permutation Probability Models
Graphical methods for ranking data
Testing for agreement between two groups of judges
A non-iterative procedure for maximum likelihood estimation of the parameters of mallows' model based on partial rankings
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Detecting a Trend in Paired Rankings
Testing Ordered Alternatives in the Presence of Incomplete Data
Rank correlation methods for missing data
Tree-Based Ranking Methods
Bayesian Aggregation of Order-Based Rank Data
Learning Permutations with Exponential Weights
Combining Results of Microarray Experiments: A Rank Aggregation Approach
Multistage Ranking Models
Time-varying rankings with the Bayesian Mallows model
Estimating probabilities in recommendation systems

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