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

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

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

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.

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

US FDA issues guidance on modernizing statistical methods for clinical trials: Maryland Wednesday, January 14, 2026, 09:00 Hrs [IST] The US Food and Drug Administration today publ ...

Treatments for a rare, aggressive form of childhood brain cancer that researchers describe as promising may move closer to ...

FDA proposes framework clinical trial designs to guide Bayesian methods, improving efficiency in drug development for rare and pediatric conditions.

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

Regulatory authorities emphasize integrated control strategies, but CAR-T specification setting requires balancing data rigor with regulatory flexibility.