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

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

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

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

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

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

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

Confirming a non-universal X-ray-to-ultraviolet relation with cosmic time is quite surprising and challenges our ...

In the US, marketing measurement software specialist Slingwave has launched an AI-native marketing attribution and scenario ...

Centers for Disease Control and Prevention researchers report national estimates of 43.6 million COVID-19-associated ...