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 ...

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The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

The following information was released by the Federal Reserve Bank of Atlanta:. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this "advance" estimate at their ...

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 ...

New dating of pigments reveals that cave paintings in the Lower Pecos region of Texas could be nearly 6,000 years old.

New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...

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

AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...