What-if on the graph is available via the Sensitivity Analysis module.
Features
Impact analysis on a part of the graph toward a target node.
Applying evidence to one or more nodes and resamples.
Reverse Stress Testing.
Graph queries.
Retrieve marginals and joint distributions.
Analyse distributions moments and quantiles.
References
- Koller D, Friedman N. Probabilistic graphical models: principles and techniques. MIT press; 2009.
- Nielsen TD, Jensen FV. Bayesian networks and decision graphs. Springer Science & Business Media; 2009 Mar 17. - 5 Analysis Tools for Bayesian Networks p167
- Darwiche A. Modeling and reasoning with Bayesian networks. Cambridge university press; 2009 Apr 6. - 17 Learning: The Maximum Likelihood Approach p439, 18 Learning: The Bayesian Approach p477.
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