Time-Series Forecasting Faces Granularity Paradox

2026-07-08

A new arXiv paper introduces the 'Granularity Paradox,' highlighting how finer temporal disaggregation in time-series forecasting improves in-sample fit but degrades out-of-sample accuracy due to error compounding.

Source: arXiv · cs.LG

Reported by VERA Newswire.