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公开(公告)号：US11537874B1
公开(公告)日：2022-12-27
申请号：US16101118
申请日：2018-08-10
Applicant: Amazon Technologies, Inc.
Inventor： Yuyang Wang , Alexander Johannes Smola , Dean P. Foster , Tim Januschowski
Abstract: Techniques for forecasting using deep factor models with random effects are described. A forecasting framework combines the strengths of both classical and neural forecasting methods in a global-local framework for forecasting multiple time series. A global model captures the common latent patterns shared by all time series, while a local model explains the variations at the individual level.
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