• Nov 26, 2025 forecasting principles and practice rob j hyndman se data can impair accuracy. Model Uncertainty: No model is perfect; quantifying uncertainty is vital. Structural Breaks: Changes in underlying data-generating processes require model adaptation. External Factors: Unpredictable events (e.g., economic shocks) may By Lola Zieme
• Jul 11, 2026 forecasting methods and applications hyndman rend, seasonality, and irregularities, offering interpretability and adaptability. Kalman Filtering: Used for efficient estimation and forecasting within state space models, enabling dynamic updating as new data By Albert Herzog III
