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Resources
BayesiaLab in action: software presentations
- Bayesialab's introductory presentation Discover the world of the Bayesian networks with this first presentation of BayesiaLab.
- Analysis toolbox Bayesian networks are naturally legibles. BayesiaLab goes further with its very complete analysis toolbox.
- Bayesian network learning BayesiaLab is a powerful data mining tool that allows easily and simply discovering the knowledge hidden in your databases.
- Decision support Use of Decision and Utility nodes to discover the optimal action policies on a simple example: drilling of oil wells.
- Dynamic bayesian networks and action policy learning All the Bayesian networks used so far were static probabilistic models. BayesiaLab allows too representing dynamic models. By exploiting the power of Bayesian networks, it is possible to calculate your optimal action policies.
- Filtered/Censored States In a lot of studies, one needs to use variables that are contingent on context, i.e. variables that only exist depending on the values of other variables (usage, configuration). We describe here how BayesiaLab takes rigorously these variables into account during learning and analysis
- Probabilistic structural equations We describe in this presentation how BayesiaLab can be used to use Bayesian networks as a pragmatic alternative to Structural Equation Modeling, PLS and Path Analysis


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