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

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 ...

A new study combines drone data, satellite observations, and ground-based flux measurements to examine methane emissions from ...

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

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

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

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

According to a new study published in JAMA Network Open, exposure to fine particulate matter air pollution during the early ...