New findings from terrorism data: Dirichlet process random-effects models for latent groups

DOI10.1111/j.1467-9876.2011.01022.xzbMath1225.62177OpenAlexW4230440769MaRDI QIDQ3096926

George Casella, Minjung Kyung, Jeff Gill

Publication date: 15 November 2011

Published in: Journal of the Royal Statistical Society: Series C (Applied Statistics) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2011.01022.x

zbMATH Keywords

logistic regressionMetropolis-Hastings algorithmGibbs samplinggeneralized linear mixed modelshierarchical modelsterroristsempirical studies of terrorism

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Applications of statistics (62P99) History, political science (91F10)

Related Items

Sampling schemes for generalized linear Dirichlet process random effects models, Bayesian semiparametric density ratio modelling with applications to medical malpractice reform

Uses Software

• Fahrmeir

Cites Work

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