Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes.
Intermittency are a common and challenging problem in demand forecasting.We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time Hair Accessories series, which incorporates and allows to generalize existing methods in several directions.Our framework is based on extensions of well-established