🖥️2021 BayesiaLab Conference — A Zoom Virtual Event

A Zoom Virtual Event — October 11–15, 2021

The 9th Annual BayesiaLab Conference

Since Judea Pearl first proposed Bayesian networks in the 1980s, this new paradigm's attractive mathematical and statistical properties have become well-understood and widely utilized within computer science. However, their enormous potential as a practical research framework—beyond computer science—has only emerged more recently. Promoting the practical use of Bayesian networks for research, analytics, and reasoning is the principal objective of our annual BayesiaLab Conference.

For the last eight years, this event has provided unique opportunities to learn about the state of the art in practical applications of Bayesian networks, from architecture to zoology and everything in between. Many of our regular conference attendees appreciate the cross-disciplinary nature of the program, and you may find that an innovative methodology from medical research could very well apply to a marketing science problem or vice versa.

Conference Presentations

If you missed some of the talks, we uploaded recordings of all presentations and the corresponding slides.

🇫🇷pageBayesiaLab 10 Update🇮🇳pageLong-Term Effects of Marketing using Bayesian Networks🇦🇪pageLearning a Bayesian Structure to Model Entrepreneurial Intentions Towards Business Creation🇦🇪pagePredicting the “Cracking” Behavior of Road Networks in UAE with Bayesian Belief Networks🇿🇦pageExplainable Bayesian Networks for Transport Policy🇬🇧pageTreatment of Missing Data in Bayesian Structural Learning: A Simulation Study for Social Science🇫🇷pageThe Capacity of Territories to Integrate the Innovations of Electric Battery and Hydrogen Mobility🇫🇷pageUsing Bayesian Networks for Environmental Health Risk Assessment🇺🇸pageBusiness Valuation Using Bayesian Networks🇦🇺pageImplementation of Bayesian Networks for Modelling Stress Corrosion Cracking🇫🇷pageUsing Bayesian Networks to Prevent Breakdowns on Hydraulic Systems of Crawler Excavators🇺🇸pageApply BBN Models to Identify Consumer Persona in High-Dimensional Parameter Space🇺🇸pageBayesian Belief Network Analysis of Computer Network Traffic Supporting Cybersystem Protection