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About Introduction To Causal Modeling, Bayesian Theory and Major Bayesian Modeling Tools For The Intelligence Analyst
This document introduces concepts of Bayesian causal networks and their applicability to intelligence analysis. Bayesian causal networks combine graphical representation with causal modeling techniques and Bayesian probability theory. They allow probabilistic causal models to be constructed to make probabilistic forecasts of future events. Subject matter expertise is necessary to develop credible causal models. Causal modeling is useful for intelligence analysis as it can provide probabilities of enemy courses of action based on different conditions.
Detailed Information
| Author: | ['gschiro'] |
|---|---|
| Publication Year: | 2008 |
| Pages: | 31 |
| Language: | English |
| Format: | |
| Price: | FREE |
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