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A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

, , , and . CoRR, (2011)

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Sparse and Smooth Adjustments for Coherent Forecasts in Temporal Aggregation of Time Series.. NIPS Time Series Workshop, volume 55 of JMLR Workshop and Conference Proceedings, page 16-26. JMLR.org, (2016)Anomaly detection with semi-supervised classification based on risk estimators., , and . CoRR, (2023)Probabilistic Calibration by Design for Neural Network Regression., and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3133-3141. PMLR, (2024)Multiple-output modeling for multi-step-ahead time series forecasting., , and . Neurocomputing, 73 (10-12): 1950-1957 (2010)Machine Learning Strategies for Time Series Forecasting., , and . eBISS, volume 138 of Lecture Notes in Business Information Processing, page 62-77. Springer, (2012)Recursive Multi-step Time Series Forecasting by Perturbing Data., and . ICDM, page 695-704. IEEE Computer Society, (2011)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition., , , and . Expert Syst. Appl., 39 (8): 7067-7083 (2012)Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions., and . KDD, page 1337-1347. ACM, (2019)Coherent Probabilistic Forecasts for Hierarchical Time Series., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3348-3357. PMLR, (2017)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition, , , and . CoRR, (2011)