The robustness of Bayesian networks

Robustheid van Bayesiaanse netwerken

Bachelor thesis (2021)

Authors

W. van Kooten Electrical Engineering, Mathematics and Computer Science

Contributors

G.F. Nane Applied Probability - EEMCS (mentor)
B. van den Dries Analysis - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Wietse van Kooten
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Published Date

09-07-2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Applying multiple structure learning algorithms like hill-climbing, incremental association and grow-shrink, to investigate their robustness, predictive capabiliy and goodness of fit on multiple discrete Bayesian networks and Gaussian Bayesian networks.