Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...

For more than 60 years, this blank slate approach has been the Food and Drug Administration’s gold standard — and for good ...

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

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

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

As Washington increasingly adopts a more transactional approach to defence in Europe, the threat to those states on the ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

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

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

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...