Bayesian analysis of order-statistics models for ranking data

DOI10.1007/BF02296147zbMath1291.62265MaRDI QIDQ2250632

Philip L. H. Yu

Publication date: 18 July 2014

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

Gibbs samplingdata augmentationranking dataorder-statistics model

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Order statistics; empirical distribution functions (62G30)

Related Items (13)

A statistical approach to calibrating the scores of biased reviewers of scientific papers ⋮ Joint latent space models for ranking data and social network ⋮ Angle-based models for ranking data ⋮ Partition–Mallows Model and Its Inference for Rank Aggregation ⋮ PLMIX: an R package for modelling and clustering partially ranked 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 ⋮ Globally and symmetrically identified Bayesian multinomial probit model ⋮ Distance-based tree models for ranking data ⋮ Ties in one block comparison experiments: a generalization of the Mallows–Bradley–Terry ranking model ⋮ A mixture model for preferences data analysis ⋮ Factor analysis for paired ranked data with application on parent-child value orientation preference data ⋮ Bayesian analysis of rank data with covariates and heterogeneous rankers

Uses Software

• R
• S-PLUS

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