Social order statistics models for ranking data with analysis of preferences in social networks
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Publication:2686019
DOI10.1214/22-AOAS1617OpenAlexW4320176115MaRDI QIDQ2686019
Publication date: 24 February 2023
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/22-aoas1617
Uses Software
Cites Work
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- A generative model for rank data based on insertion sort algorithm
- Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes
- Statistical methods for ranking data
- Partial maximum likelihood estimation of spatial probit models
- Modeling the variability of rankings
- Mixtures of weighted distance-based models for ranking data with applications in political studies
- Spectral partitioning works: planar graphs and finite element meshes
- A mixture of experts model for rank data with applications in election studies
- Specifying and testing econometric models for rank-ordered data
- A generalization of spectral analysis with application to ranked data
- A variational EM method for mixed membership models with multivariate rank data: an analysis of public policy preferences
- Bayesian analysis of order-statistics models for ranking data
- The repeated insertion model for rankings: missing link between two subset choice models
- Rank aggregation using latent-scale distance-based models
- NON-NULL RANKING MODELS. I
- Factor Analysis for Ranked Data with Application to a Job Selection Attitude Survey
- Bayesian Variable Selection in Linear Regression
- Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
- Bayesian Aggregation of Order-Based Rank Data
- Multistage Ranking Models
- An adaptive Metropolis algorithm
- A grade of membership model for rank data
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