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 ...

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

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

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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 ...

For years, the asset management story has been written as a triumph of scale: Bigger platforms. Bigger brands. Bigger ...

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

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

The ROAR trial tested the hypothesis that returning familial hypercholesterolemia-associated genetic results leads to ...