In this notebook, we will implement Croston’s method for intermittent demand forecasting using NumPyro. Croston’s method is a popular forecasting method for intermittent demand data, which is characterized by a large number of zero values. The method is based on the idea of separating the demand size and the demand interval, and then forecasting them separately using simple exponential smoothing. We therefore can leverage on top of the previous post Notes on Exponential Smoothing with NumPyro. Once we have the forecasts for the demand size and the demand interval, we can combine them to get the final forecast. For a succinct explanation of Croston’s method, I recommend the following blog post: https://www.pmorgan.com.au/tutorials/crostons-method/.
Dr. Juan Camilo Orduz · Feb 15, 2024
Croston's Method for Intermittent Time Series Forecasting in NumPyro
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In this notebook, we will implement Croston’s method for intermittent demand forecasting using NumPyro . Croston’s method is a popular forecasting method for intermittent demand data, which is characterized by a large number of zero values. The method is based on the idea of separating the demand size and the demand interval, and then forecasting them separately using simple exponential smoothing.…
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