Proactive, Backward Analysis and Learning in Road Probabilistic Bayesian Network Models

Author:

Castillo Enrique1,Grande Zacarías1,Mora Elena1,Xu Xiangdong2,Lo Hong K.3

Affiliation:

1. Department of Applied Mathematics and Computational Sciences; University of Cantabria, Santander and the Royal Academy of Engineering; Spain

2. Key Laboratory of Road and Traffic Engineering of the Ministry of Education; Tongji University; Shanghai China

3. Department of Civil and Environmental Engineering; Hong Kong University of Science and Technology; Hong Kong

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Reference25 articles.

1. Prediction of vehicle traffic accidents using Bayesian networks;Alizadeh;Scientific Journal of Pure and Applied Sciences,2014

2. Specification of distributions by combinations of marginal and conditional distributions;Arnold;Statistics and Probability Letters,1996

3. Conditionally specified distributions: an introduction (with comments and a rejoinder by the authors);Arnold;Statistical Science,2001

4. Multi-dimensional classification with Bayesian networks;Bielza;International Journal of Approximate Reasoning,2011

5. Recent advances in probabilistic graphical models;Bielza;International Journal of Intelligent Systems,2015

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