The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Researchers at Cambridge University made a big splash in April last year when they announced that they had strong evidence ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how the Bayesian and Buhlmann methods relate.

Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...

A new study combines drone data, satellite observations, and ground-based flux measurements to examine methane emissions from ...

According to the survey, 63% of senior leaders (1) say they would seek input more often from their teams to help make big decisions if they didn't think doing so would make them look weak. Male ...

Two massive particle beams, fired from opposite sides of the Earth, have just revealed a rare glimpse into neutrino behavior. By merging their data, researchers have shrunk a key uncertainty to ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.