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

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

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

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The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their applications in improving industrial efficiency and flexibility. It also ...

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

Neutrinos pass through you every second. Now, two mega-experiments have finally pinned down one of their deepest traits.

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