A study of over 6,800 patients identifies key pathways driving severe asthma exacerbation risk, highlighting roles for ...

Chris T. Volinsky, David Madigan, Adrian E. Raftery, Richard A. Kronmal, Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke, Journal of the Royal Statistical ...

Guosheng Yin, Ying Yuan, Bayesian Model Averaging Continual Reassessment Method in Phase I Clinical Trials, Journal of the American Statistical Association, Vol. 104, No. 487 (September 2009), pp. 954 ...

Bayesian statistics use probabilities to attack statistical problems and provide for people to update their conclusions as new data enters the model. But using probabilistic reasoning is still a ...

The studies are detailed — and their conclusions unequivocal: Bayesian models, properly built and applied, are terrific at predictively identifying risk from insider threats, which means they ...

Practical fusion power that can provide cheap, clean energy could be a step closer thanks to artificial intelligence.

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving ...