Explainable boosted linear regression for time series forecasting

Pattern Recognition(2021)

引用 23|浏览27
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摘要
•Explainable boosted linear regression (EBLR) is proposed for time series forecasting.•EBLR starts with a base model, and explains model’s errors through regression trees.•EBLR’s training residuals can be used to generate probabilistic forecasts.•EBLR performs comparably well and is simpler/more interpretable than other methods.
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关键词
Time series regression,Probabilistic forecasting,Decision trees,Linear regression,ARIMA
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