Selected aspects of prior and likelihood information for a Bayesian classifier in a road safety analysis

Volume: 101, Pages: 97 - 106
Published: Apr 1, 2017
Abstract
The development of the Bayesian logistic regression model classifying the road accident severity is discussed. The already exploited informative priors (method of moments, maximum likelihood estimation, and two-stage Bayesian updating), along with the original idea of a Boot prior proposal, are investigated when no expert opinion has been available. In addition, two possible approaches to updating the priors, in the form of unbalanced and...
Paper Details
Title
Selected aspects of prior and likelihood information for a Bayesian classifier in a road safety analysis
Published Date
Apr 1, 2017
Journal
Volume
101
Pages
97 - 106
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