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Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach
We are able to show the differences in characteristics of the e-commerce and brick-and-mortar retail datasets.
Local and Global Trend Bayesian Exponential Smoothing Models
This paper describes a family of seasonal and non-seasonal time series models that can be viewed as generalisations of additive and multiplicative exponential smoothing models, to model series that grow faster than linear but slower than exponential.
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