Likai Chen

From Vector Autoregressions to AI-based Time Series Forecasting: A Review

It is argued that modern methods make progress by expanding the classical forecasting template: they allow more flexible dynamics, use larger information sets and training corpora, and represent richer predictive distributions, yet they often lack the inferential and structural tools that make classical models useful for testing, explanation, and policy analysis.