Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Abstract: Forecasting traffic conditions is critical for modern mobility management. With urbanization and motorization rates rising globally, accurate traffic flow prediction plays a vital role in ...

The first AI tool to use large language modeling to predict infectious disease risk has been developed. Researchers at Johns Hopkins University (MD, USA) and Duke University (NC, USA) have developed a ...