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Forecast Selection and Representativeness., и . Manag. Sci., 69 (5): 2672-2690 (мая 2023)Improving forecasting by subsampling seasonal time series., , и . Int. J. Prod. Res., 61 (3): 976-992 (февраля 2023)An aggregate-disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis., , , , и . JORS, 62 (3): 544-554 (2011)Hierarchical forecast reconciliation with machine learning., , , , и . Appl. Soft Comput., (2021)Exploring the sources of uncertainty: Why does bagging for time series forecasting work?, , и . Eur. J. Oper. Res., 268 (2): 545-554 (2018)'Horses for Courses' in demand forecasting., , , и . Eur. J. Oper. Res., 237 (1): 152-163 (2014)Probabilistic forecast reconciliation with applications to wind power and electric load., , и . Eur. J. Oper. Res., 279 (2): 364-379 (2019)Old dog, new tricks: a modelling view of simple moving averages., и . Int. J. Prod. Res., 56 (18): 6034-6047 (2018)Understanding forecast reconciliation., , и . Eur. J. Oper. Res., 294 (1): 149-160 (2021)Optimizing Theta Model for Monthly Data., и . ICAART (1), стр. 190-195. SciTePress, (2013)