Investigating different approaches to develop informative priors in hierarchical Bayesian safety performance functions

Accident Analysis and Prevention

Volumn 56, Issue , 2013, Pages 51-58

  Yu, Rongjie ^a,b   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

^b TONGJI UNIVERSITY   (China)

Author keywords

Bayesian inference; Hierarchical Bayesian model; Informative prior; Safety performance functions; Weather and traffic data

Indexed keywords

BAYESIAN INFERENCE; HIERARCHICAL BAYESIAN MODELS; INFORMATIVE PRIORS; SAFETY PERFORMANCE FUNCTION; TRAFFIC DATA;

BAYESIAN NETWORKS; ESTIMATION; HIERARCHICAL SYSTEMS; INFERENCE ENGINES;

SAFETY ENGINEERING;

ARTICLE; BAYES THEOREM; ENVIRONMENTAL PLANNING; EVALUATION STUDY; POISSON DISTRIBUTION; SAFETY; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNITED STATES; WEATHER; PREVENTION AND CONTROL; STATISTICS AND NUMERICAL DATA;

ACCIDENTS, TRAFFIC; BAYES THEOREM; COLORADO; ENVIRONMENT DESIGN; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; POISSON DISTRIBUTION; SAFETY; WEATHER;

EID: 84876580089     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2013.03.023     Document Type: Article

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