Evaluating Probabilistic Time Series Forecasting with R's crossvalidation
A recent tutorial explores the use of the R package 'crossvalidation' for probabilistic time series forecasting, highlighting metrics beyond traditional point forecasts. The package provides tools to assess prediction intervals using empirical coverage rates and Winkler scores, offering a comprehensive validation approach for time series models.