Song-Lin Du

Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting

Quantifying uncertainty in time series forecasting is particularly demanding because sequential data exhibit temporal dependence and are prone to distributional changes. Conformal inference has emerged as a powerful uncertainty quantification approach through the construction of prediction sets. Recent advances have in...