Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

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Abstract: Long-term forecasting of multivariate time series has been an important research issue in the field of data mining and knowledge discovery. Fuzzy information granularity is used as an ...

Abstract: Traditional statistical time series forecasting models rely on model identification methods to identify the worthiest model variants to investigate; therefore, the model parameters change ...

Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

The Trump administration's plan to dismantle the nation's atmospheric research programs could set U.S. forecasting back a generation or more, a cadre of retired federal hurricane, weather and ocean ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...