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ArticleForecasting principles and practice

Rob J. Hyndmann.d.

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Forecasting principles and practice

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Forecasting Techniques and Applications Innovation Diffusion and Forecasting Grey System Theory Applications

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2019The Performance of LSTM and BiLSTM in Forecasting Time Series 2018A Comparison of ARIMA and LSTM in Forecasting Time Series 2020Recurrent Neural Networks for Time Series Forecasting: Current status and future directions 2021Applications of deep learning in stock market prediction: Recent progress 2019Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series 2020Evaluating time series forecasting models: an empirical study on performance estimation methods 2020Probabilistic forecasting with temporal convolutional neural network 2022Deep Learning for Time Series Forecasting: Tutorial and Literature Survey

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Yearn.d.

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Languageen

Citations4,364

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ShelfForecasting Techniques and Applications

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