A cluster analysis of vote transitions

DOI10.1016/j.csda.2013.10.006zbMath1471.62166OpenAlexW2033802760MaRDI QIDQ1615244

Josep Ginebra, Xavier Puig

Publication date: 2 November 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2013.10.006

zbMATH Keywords

spatial dataBayesian hierarchical modelecological inferenceBayesian model checkingelection data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) History, political science (91F10)

Related Items (1)

Latent class models for ecological inference on voters transitions

Uses Software

• WinBUGS
• R-Geo
• BayesDA

Cites Work

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• Inference from iterative simulation using multiple sequences
• Applied Spatial Data Analysis with R
• Aggregate Data, Ecological Regression, and Voting Transitions
• Bayesian and Frequentist Inference for Ecological Inference: The RxC Case
• Models, Assumptions and Model Checking in Ecological Regressions

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