In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

Hurricane relief may come at a cost. Forecasters warn the same climate pattern calming storms could stir up a turbulent ...

MBA in Business Analytics vs. Finance: Choosing the best MBA specialization is no easy task. These days, Business Analytics ...

The powerful El Niño is expected to be the dominant factor, creating wind shear that disrupts storm formation. Forecasters note that sea surface temperatures in the tropical Atlantic are near average, ...

Prediction markets are financial exchanges that allow people to trade on the outcomes of future events, from election results to baseball games to the subject of an Elon Musk tweet. Part forecasting ...

Prediction market apps offer a different model than traditional sportsbooks, letting users trade on the outcomes of future events rather than placing fixed bets against the house. Elections, sports ...

The Trump administration on Wednesday proposed a set of new federal regulations for prediction markets that appear to largely leave the booming industry intact. Importantly, the new rules would ...

Earlier this year, Thomas Christian Owens decided to try his hand at prediction market trading for the first time. He created a Kalshi account in January. Three months and a $500 deposit later, he ...

Sportsbooks like DraftKings have seen their shares crushed over the past year by prediction markets, which offer futures contracts that closely resemble sports bets. Now prediction markets are ...

A proposal for the Commodity Futures Trading Commission on regulating prediction markets such as Kalshi and Polymarket is under review by the White House, a filing shows. Tuesday's filing came on the ...

President Donald Trump on Tuesday stressed the importance of establishing the Commodity Futures Trading Commission’s “exclusive authority” over prediction markets and vowed to protect the ...

Conformal prediction is a framework for making reliable predictions with a guaranteed error rate. It provides a way to quantify uncertainty in machine learning models ...