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Bringing Bayesian Networks to the world

Important News and Dates

12 January 2010
DBL Interactive Version 2.0 Released
DBL Interactive Version 2.0 is now available. Contact us to order licences for DBL Interactive.

Home > Online Tutorials

Online Tutorials

Below are some tutorials and examples that will introduce you to Bayesian Networks, how they work and how they are used for decision support. The introductory topics covered here are basic probabilistic inference, decision networks, automatic learning and probabilities and the use of expert opinion.

» Basic Probabilistic Inference

These tutorials will introduce you to Bayesian Networks, their components and how they work.

» Meat Test Network

» Decision Networks

These tutorials will introduce you a particular type of Bayesian Network called a Decision Network. Decision Networks contain special nodes called Decision and Utility nodes and can be used to estimate the expected net benefit of different decision alternatives.

» Product Development Network

» Automatic Learning of Probabilities

These tutorials will show you how data can be used to populate a Bayesian Network with probabilities.

» Gender Model

» Using Expert Opinion

These tutorials will show you how DBL Interactive's Conditional Probability Table (CPT) Calculator can be used to simplify the task of populating CPTs using expert opinion.

» Rodent Control Effectiveness Model

» Examples

Below are some examples of the application of Bayesian Networks to various natural resource management problems.

   » Dunnart Model
   » Parkinsonia Model
   » Pasture Dynamics Model
   » Rodent Control Effectiveness Model
   » Tree Nursery Example
   » Wildlife Abundance Models