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- W3091363359 abstract "Competition between times series arises naturally in sales forecasting or in population modelisation. In this article, a model for the behavior of such high-dimensional time series is proposed. This model is based on the prerequisite that the total sum of the time series is distributed between its component following a 'competitiveness' factor inherent to each component. A confidence bound is proposed for the estimation of this model. Then, this model is applied to real-world E-commerce data using a recurrent neural network architecture to compute the model. It improves the results of standard RNN models in most cases." @default.
- W3091363359 created "2020-10-08" @default.
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- W3091363359 date "2020-09-30" @default.
- W3091363359 modified "2023-09-27" @default.
- W3091363359 title "Modelisation of competition between times series." @default.
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