Croston variants and bias correction

A technically strong model can still mislead if validation leaks future information. This brief explores croston variants and bias correction and the checks needed for credible comparison.

Practitioner lens

For croston variants and bias correction, validation must respect the information set available at each forecast origin. Features published after the decision date create leakage and overstate likely performance.

First experiment

Compare with naive and current-production baselines, then test sensitivity across product and lifecycle cohorts.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.