Multilevel Dirichlet process mixture analysis of railway grade crossing crash data

Analytic Methods in Accident Research

Volumn 9, Issue , 2016, Pages 27-43

  Heydari, Shahram ^a   Fu, Liping ^a   Lord, Dominique ^b   Mallick, Bani K ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b Department of Electrical and Computer Engineering   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Dirichlet process mixture models; Finite mixture models; Latent subpopulations; Random effects models; Spatial regional multilevel models; Unobserved heterogeneity

Indexed keywords

BAYESIAN NETWORKS; PUBLIC POLICY; RAILROAD CROSSINGS; RAILROADS; RANDOM PROCESSES; REGRESSION ANALYSIS;

DIRICHLET PROCESS MIXTURE MODEL; FINITE MIXTURE MODELS; LATENT SUBPOPULATIONS; MULTILEVEL MODEL; RANDOM EFFECTS MODEL; UNOBSERVED HETEROGENEITY;

MIXTURES;

EID: 84959323373     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2016.02.001     Document Type: Article

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