Dynamic Dirichlet process mixture model for identifying voting coalitions in the United Nations General Assembly human rights roll call votes

DOI10.1080/02664763.2021.1931820OpenAlexW3164693420MaRDI QIDQ5867711

Qiushi Yu

Publication date: 14 September 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1931820

zbMATH Keywords

human rightsdynamic Dirichlet process mixture modelroll call votesunited nations general assembly

Mathematics Subject Classification ID

Clustering in the social and behavioral sciences (91C20) Applications of statistics (62Pxx)

Uses Software

• Mcmcpack

Cites Work

• Unnamed Item
• Unnamed Item
• Model-based clustering based on sparse finite Gaussian mixtures
• Achieving shrinkage in a time-varying parameter model framework
• Ward's hierarchical agglomerative clustering method: which algorithms implement Ward's criterion?
• A mixture of experts model for rank data with applications in election studies
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Weak convergence and optimal scaling of random walk Metropolis algorithms
• Ferguson distributions via Polya urn schemes
• From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• Finite mixture and Markov switching models.
• Exploring Voting Blocs Within the Irish Electorate
• Inference and missing data
• DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
• On Gibbs sampling for state space models
• Bayesian Density Estimation and Inference Using Mixtures
• Identifying Intraparty Voting Blocs in the U.K. House of Commons
• Dynamic Linear Models with R