Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 49, No. 2 (June/Juin 2021), pp. 397-420 (24 pages) Methods of analyzing survival data ...

Sandia National Labs researchers have created a new dataset on the rates and types of rooftop PV connector failures. Their ...

A vital component in many research fields is the ability to measure bacterial growth for fermentation, antibiotic effectiveness, synthetic biology, and food safety. Estimating bacterial growth ...

This is a preview. Log in through your library . Abstract The observation, measurement, and analysis of violent and contentious processes are essential parts of the scientific study of peace and ...

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...