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A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes...

A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2627175781

A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes in Italian tunnels

About this item

Full title

A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes in Italian tunnels

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Statistical methods & applications, 2022-03, Vol.31 (1), p.109-131

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

An analysis of crashes occurring in 252 unidirectional Italian motorway tunnels over a 4-year monitoring period is provided to identify the main causes of crashes in tunnels. In this paper, we propose a full Bayesian bivariate Poisson lognormal hierarchical model with correlated parameters for the joint analysis of crashes of two levels of severity...

Alternative Titles

Full title

A Bayesian bivariate hierarchical model with correlated parameters for the analysis of road crashes in Italian tunnels

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2627175781

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2627175781

Other Identifiers

ISSN

1618-2510

E-ISSN

1613-981X

DOI

10.1007/s10260-021-00567-5

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