hyndman

ppropriateness Choosing the right model is crucial. Hyndman advocates for a pragmatic approach: Start with simple models (e.g., exponential smoothing) to establish a baseline. Progress to more complex mode

of statistical theory, model flexibility, and practical usability. His work emphasizes the importance of selecting appropriate models based on data characteristics, leveraging automated procedures for model fitting, and evaluating forecast accuracy compr