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09/21/2022
DeepVARwT: Deep Learning for a VAR Model with Trend
The vector autoregressive (VAR) model has been used to describe the depe...
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06/26/2022
fETSmcs: Feature-based ETS model component selection
The well-developed ETS (ExponenTial Smoothing or Error, Trend, Seasonali...
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02/28/2021
Exploring the social influence of Kaggle virtual community on the M5 competition
One of the most significant differences of M5 over previous forecasting ...
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01/04/2021
Improving forecasting with sub-seasonal time series patterns
Time series forecasting plays an increasingly important role in modern b...
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11/01/2019
Research and application of time series algorithms in centralized purchasing data
Based on the online transaction data of COSCO group's centralized procur...
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04/17/2019
Forecasting with time series imaging
Feature-based time series representation has attracted substantial atten...
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04/26/2018
