Statistical methods for comparison of day-to-day traffic models
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- 作者：Martin L. Hazeltona ; m.hazelton@massey.ac.nz" class="auth_mail" title="E-mail the corresponding author ; Katharina Parryb ; katharina.parry@aut.ac.nz" class="auth_mail" title="E-mail the corresponding author
- 关键词：Bayesian ; DIC ; MCMC ; Network ; Route choice
- 刊名：Transportation Research Part B: Methodological
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：92
- 期：part_PA
- 页码：22-34
- 全文大小：854 K
文摘
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Theory presented for Bayesian model selection for day-to-day traffic models.
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Markov chain Monte Carlo algorithm developed for practical implementation.
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Computation of complete data deviance information criterion discussed.
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Simulation study of model selection accuracy based on link count data only.