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 ...

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

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

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

Expansion of antiretroviral therapy in Uganda sharply reduced orphanhood incidence, especially among adolescents, but ...

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

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...