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 ...

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

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 ...

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

To investigate the emergence of a pro-wealthy bias in the US Supreme Court, we develop a protocol to identify and analyze all cases involving economic issues from 1953 to the present. We categorize ...

Reducing liver fat has become a central target in the development of therapies for metabolic dysfunction–associated ...

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

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

A tiny fossil fish from Alberta is forcing scientists to rethink a story that has sat quietly in textbooks for decades. It is ...

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