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Bayesia newsletter, September 2009
Bayesian Belief Networks training in New York City
Bayesia will hold a training session in NYC on November 10th and 11th, 2009. The session will include courses on knowledge modeling and data analysis with Bayesian networks.
Learn more about this training »
Three new case studies
- Perfume Market Driver Analysis: This new case study describes how Probabilistic Structural Equations (PSE) can be induced by BayesiaLab to analyze a specific Perfume Market. The slides also show how to take into account the competitive position of each product's drivers for the computation of the optimal policies.
- Identifying drivers of liking: Presentation at Pangborn 2009 conference of a method to identify drivers of liking for fine fragrances with BayesiaLab (presentation by our partner Repères)
- Difficult intubations analysis: Prediction of difficult intubation (DI) is crucial during pre anaesthesia assessment of a patient. Many criterions are used to predict DI with different performances. In this case study, we show how BayesiaLab, through its learning algorithms, allows to quickly discovering unknown probabilistic relationships between variables and enhance prediction.