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New release of BayesiaLab

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Our last case studies

  • Football World Cup 2010 A funny game illustrating the chances of a team to qualify for the second round of the 2010 World Cup.

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  • Analysis of a perfume market Presentation in conferenceApplibugs 2009 Application of Probabilistic Structural Equations (PSE) to the analysis of a perfume market

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  • Employees satisfaction analysis Application of probabilistic structural equations to find employees satisfaction drivers.

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  • Identifying drivers of liking Presentation in conferencePangborn 2009 Presentation at Pangborn 2009 conference of a method to identify drivers of liking for fine fragrances with BayesiaLab (presentation by our partner Repères)

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  • Difficult intubations analysis Presentation in conferenceScata 2007 (London) 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.

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