Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping

Spatial and Spatio-temporal Epidemiology

Volumn 14-15, Issue , 2015, Pages 45-54

  Carroll, R ^a   Lawson, A B ^a   Faes, C ^b   Kirby, R S ^c   Aregay, M ^a   Watjou, K ^b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b HASSELT UNIVERSITY   (Belgium)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Bayesian; BRugs; Integrated Nested Laplace Approximation; MCMC; Poisson; Spatial

Indexed keywords

AGE; ARTICLE; BAYES THEOREM; EDUCATION; GEOGRAPHIC MAPPING; HUMAN; INCOME; POISSON DISTRIBUTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; RISK FACTOR; SIMULATION; ALGORITHM; COMPARATIVE STUDY; EPIDEMIOLOGY; MARKOV CHAIN; MONTE CARLO METHOD; SOFTWARE; SPATIOTEMPORAL ANALYSIS; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; BAYES THEOREM; EPIDEMIOLOGIC METHODS; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MODELS, THEORETICAL; MONTE CARLO METHOD; POISSON DISTRIBUTION; SOFTWARE; SPATIO-TEMPORAL ANALYSIS;

EID: 84943575394     PISSN: 18775845     EISSN: 18775853     Source Type: Journal    
DOI: 10.1016/j.sste.2015.08.001     Document Type: Article

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