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Modelling for identifying accident-prone spots: Bayesian approach with a Poisson mixture model

Chang, Iljoon / Kim, Seong W.

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Modelling for identifying accident-prone spots: Bayesian approach with a Poisson mixture model

Chang, Iljoon / Kim, Seong W.

Modelling for identifying accident-prone spots: Bayesian approach with a Poisson mixture model

Chang, Iljoon / Kim, Seong W.

Access

Check availability in my library

Order at Subito €

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Document information

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Document information

Title:

Modelling for identifying accident-prone spots: Bayesian approach with a Poisson mixture model

Contributors:

Chang, Iljoon (author) / Kim, Seong W. (author)

Published in:

KSCE journal of civil engineering ; 16

Publication date:

2012

ISSN:

DOI:

https://doi.org/10.1007/s12205-012-1513-9

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

membership probability , zero-inflated poisson , Bayes factor , mixture model , accident-prone spot

Classification:

BKL: 55.80 Verkehrswesen, Transportwesen: Allgemeines, Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik, Verkehrsplanung, Verkehrspolitik / 55.80 Verkehrswesen, Transportwesen: Allgemeines / 56.24 Straßenbau, Straßenbau / 56.24 Straßenbau / 74.75 Verkehrsplanung, Verkehrspolitik

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