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

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The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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.

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 ...

After a period of sharp deceleration, inflation in Croatia has inched up since late 2024 to about 4–4½ percent year-on-year lately, among the highest in the euro area. As monetary policy is set at the ...

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

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 ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...