On Cross-Validation for Predictor Evaluation in Time Series

Abstract

In the context of the prediction error method for one step ahead prediction in a single time series, a conventional and two cross-validatory procedures are proposed for prediction of squared prediction errors, and also for choosing among several predictor families. These procedures are compared in a simulation study. The conventional procedure appears to perform at least as well as the cross-validatory procedures.