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Explainable boosted linear regression for time series forecasting · Study

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ArticleExplainable boosted linear regression for time series forecasting

Igor Ilic2021

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Articlegreen2021

Explainable boosted linear regression for time series forecasting

Igor Ilic · Berk Görgülü · Mücahit Çevik · Mustafa Gökçe Baydoğan

84 citations·0/0 files stored·Pattern Recognition

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Forecasting Techniques and Applications Explainable Artificial Intelligence (XAI)Time Series Analysis and Forecasting

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References

1978Time Series Analysis: Forecasting and Control.2003Time series forecasting using a hybrid ARIMA and neural network model 2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks 2019The M4 Competition: 100,000 time series and 61 forecasting methods 2019A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting 2020Probabilistic forecasting with temporal convolutional neural network 2019Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model 2005Improved supply chain management based on hybrid demand forecasts

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2023Scope 3 emissions: Data quality and machine learning prediction accuracy 2023IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies

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Year2021

Typearticle

Published2021-07-08

VenuePattern Recognition

ISSN-L0031-3203

Languageen

Citations84

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.patcog.2021.108144

openalex_workW3087005362

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