From empirical Bayes to full Bayes : methods for analyzing traffic safety data.

Carriquiry, Alicia L.; Pawlovich, Michael; Iowa State University; Iowa. Dept. of Transportation

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From empirical Bayes to full Bayes : methods for analyzing traffic safety data.

2004-10-24
By Carriquiry, Alicia L. ; Pawlovich, Michael

[PDF-224.79 KB]

English

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Creators:

Carriquiry, Alicia L. ; Pawlovich, Michael

Carriquiry, Alicia L. ; Pawlovich, Michael Less -
Corporate Creators:

Iowa State University ; Iowa. Dept. of Transportation

Iowa State University ; Iowa. Dept. of Transportation Less -
Subject/TRT Terms:

[+]

Bayes' Theorem Decision Theory Empirical Methods Highway Safety Measuring Methods Traffic Data Traffic Measurement Traffic Safety Transportation Safety
Resource Type:

Tech Report
Geographical Coverage:

Iowa
Corporate Publisher:

Iowa State University
Abstract:

Traffic safety engineers are among the early adopters of Bayesian statistical tools for

analyzing crash data. As in many other areas of application, empirical Bayes methods were

their first choice, perhaps because they represent an intuitively appealing, yet relatively

easy to implement alternative to purely classical approaches. With the enormous progress

in numerical methods made in recent years and with the availability of free, easy to use

software that permits implementing a fully Bayesian approach, however, there is now ample

justification to progress towards fully Bayesian analyses of crash data.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:e29eb3745b84b22b1825855d5c0fa25d645c08e95c5b45ef6467a9c2858c8f0f
Download URL:

https://rosap.ntl.bts.gov/view/dot/24410/dot_24410_DS1.pdf
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From empirical Bayes to full Bayes : methods for analyzing traffic safety data.

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