The Copula Bayesian Network with mixed discrete and continuous nodes to forecast railway disruption lengths

Zilko, A.A.; Kurowicka, Dorota; Hanea, AM; Goverde, RMP

The Copula Bayesian Network with mixed discrete and continuous nodes to forecast railway disruption lengths

Conference paper (2015)

Authors

A.A. Zilko Applied Probability

Dorota Kurowicka Applied Probability

AM Hanea External organisation

RMP Goverde Transport and Planning

Research Group

Applied Probability

To reference this document use:

http://resolver.tudelft.nl/uuid:3497625b-dd19-4ba7-bd19-1fe81a45bfe0

More Info

expand_more

Published Date

2015

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Applied Probability

No files available

Metadata only record. There are no files for this conference paper.