Modeling railway disruption lengths with Copula Bayesian Networks
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文摘

We construct a dependence model for the railway disruption length in the Netherlands.

The model is used to make prediction of disruption length.

The model is validated against a test set.

The model appears to perform well in predicting the disruption length distribution.

We show how our model can be used in real-life application.

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