Mixtures of weighted distance-based models for ranking data with applications in political studies

DOI10.1016/j.csda.2012.02.002zbMath1252.62010OpenAlexW2081714563MaRDI QIDQ693262

Paul H. Lee, Philip L. H. Yu

Publication date: 7 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.02.002

zbMATH Keywords

mixtures modelsdistance-based models

Mathematics Subject Classification ID

Related Items (12)

Angle-based models for ranking data ⋮ On a weighted generalization of Kendall's tau distance ⋮ A Kemeny distance-based robust fuzzy clustering for preference data ⋮ Remarkable properties for diagnostics and inference of ranking data modelling ⋮ Social order statistics models for ranking data with analysis of preferences in social networks ⋮ Efficient and accurate inference for mixtures of Mallows models with Spearman distance ⋮ Model-based clustering for multivariate partial ranking data ⋮ Mallows and generalized Mallows model for matchings ⋮ A generative model for rank data based on insertion sort algorithm ⋮ Unnamed Item ⋮ Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians ⋮ Estimating the number of clusters in a ranking data context

Uses Software

• Mixmod

Cites Work

• Mixtures of distance-based models for ranking data
• Model-based cluster and discriminant analysis with the MIXMOD software
• Metric methods for analyzing partially ranked data
• Probability models on rankings
• Probability models and statistical analyses for ranking data. Papers presented at the AMS-IMS-SIAM conference, Amherst, MA, USA, June 1990
• A weighted Kendall's tau statistic
• Distance-based tree models for ranking data
• Describing disability through individual-level mixture models for multivariate binary data
• Exploring Voting Blocs Within the Irish Electorate
• NON-NULL RANKING MODELS. I
• Multistage Ranking Models
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Mixtures of weighted distance-based models for ranking data with applications in political studies