Bayesian analysis of multivariate crash counts using copulas.

Park, Eun Sug; Oh, Rosy; Ahn, Jae Youn; Oh, Man-Suk

Park, Eun Sug; Oh, Rosy; Ahn, Jae Youn; Oh, Man-Suk.

Afiliação

Park ES; Texas A&M Transportation Institute, Texas A&M University System, 3135 TAMU, College Station, TX, 77843-3135, United States. Electronic address: e-park@tamu.edu.
Oh R; Institute of Mathematical Sciences, Ewha Womans University, Seoul, 03760, South Korea. Electronic address: rosy_oh@ewha.ac.kr.
Ahn JY; Department of Statistics, Ewha Womans University, Seoul, 03760, South Korea. Electronic address: jaeyahn@ewha.ac.kr.
Oh MS; Department of Statistics, Ewha Womans University, Seoul, 03760, South Korea. Electronic address: msoh@ewha.ac.kr.

Accid Anal Prev ; 149: 105431, 2021 Jan.

Article em En | MEDLINE | ID: mdl-32106932

Assuntos

Acidentes de Trânsito; Teorema de Bayes; Modelos Estatísticos; Humanos; Análise Multivariada; Segurança

Palavras-chave

Crash severity; Crash types; Highway safety; Multivariate crash counts; Overdispersion; Unobserved heterogeneity

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Modelos Estatísticos / Teorema de Bayes Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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