What is BayesiaLab?
BayesiaLab 5.3 is a powerful desktop application with a highly sophisticated graphical user interface, which provides scientists a comprehensive “lab” environment for machine learning, knowledge modeling, diagnosis, analysis, simulation, and optimization.
With the launch of BayesiaLab 1.0 in 2001, using Bayesian networks has become practically feasible for applied researchers, enabling them to gain deep understanding of high-dimensional domains. BayesiaLab leverages the inherently graphical structure of Bayesian networks for exploring and explaining complex problems. Also, among all analytics software packages, BayesiaLab is unique in its ability to formally distinguish between observational and causal inference.