Probabilistic Time Series Forecasting

Probabilistic Time Series Forecasting is a prediction method based on time series data that uses probabilistic models to estimate the distribution of future values, aiming to provide more comprehensive and accurate forecasting results. This method not only focuses on point forecasting but also emphasizes the quantification of uncertainty in predictions, thereby offering reliable risk assessments for decision-making. It has significant application value in fields such as finance, meteorology, and energy, effectively supporting dynamic decision-making and risk management.