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Citations in the corpus

• Deep Factors for Forecasting (2019, methodology): “To assess the performance of our algorithm, we compare with DeepAR ( DA ), a state-of-art RNN-based probabilistic forecasting algorithm on the publicly available AWS SageMaker (Januschowski et al., 2018), MQ-RNN ( MR ), a sequence model that generates conditional predictive quantiles (Wen et al., 20”
• Forecasting Big Time Series: Old and New (2018, methodology): “We conclude the tutorial with a summary of the previous parts and share the lessons learned building the scalable forecasting system for retail and cloud resource within Amazon [1] and developing cloud-based deep learning forecasting algorithms such as DeepAR [6] in AWS SageMaker [13].”