We develop methodology to bridge scenario analysis and risk forecasting, leveraging their respective strengths in policy settings. The methodology, rooted in Bayesian analysis, addresses the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...

After a merciful lack of hurricanes in the U.S. and an unusually quiet Gulf of Mexico, the 2025 Atlantic hurricane season wasn’t too memorable in Louisiana. But the season will be remembered for ...

The National Oceanic and Atmospheric Administration has introduced a new suite of weather forecasting models that are driven by Artificial Intelligence and are expected to deliver faster and more ...

Since 2003, India Meteorological Department (IMD) has been issuing the operational long-range forecast (LRF) for the southwest monsoon seasonal (June-September) rainfall averaged over the country ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

My print column examines the proliferation of statistical forecasting models for the Academy Awards, which will be handed out on Sunday night. After quantitative predictions did well in forecasting ...