Interactive Tutorials

2. Causal Structure Learning

1. Causal Models3. Information Theory - 4. Kernel Smoothing

Problem statement: Given observations, what causal relations can be learnt?


The data here presented is drawn from the well-known Alarm Network (see previous topic). Run de model construction algorithm step-by-step. For boolean data, the treshold for KDE is set to 0.03. This is however still to large to recognize all independencies, because chances of a Burglary or earthquake are very small. Lower the treshold to about 0.01 for correct learning.

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last updated: March, 9th 2006 by Jan Lemeire
Parallel Computing Lab, VUB