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Found 5 papers, 1 papers with code
Concurrent Neural Network : A model of competition between times series
Competition between times series often arises in sales prediction, when similar products are on sale on a marketplace.
Deviation bound for non-causal machine learning
Concentration inequalities are widely used for analyzing machine learning algorithms.
Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method
We revisit the interest of classical statistical techniques for sales forecasting like exponential smoothing and extensions thereof (as Holt's linear trend method).
A multi-series framework for demand forecasts in E-commerce
However, due to the short nature of sales times series in E-commerce, univariate methods don't apply well.
High dimensional VAR with low rank transition
We propose a vector auto-regressive (VAR) model with a low-rank constraint on the transition matrix.
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