Forecasting hierarchical and grouped time series through trace minimization

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Mathematical optimization in classification and regression trees (2021, background): “Since constructing optimal binary classification and regression trees is known to be an NP-complete problem (Hyafil and Rivest 1976), early research traditionally focused on the design of greedy heuristic procedures (Yang et al. 2017) that require a low computational effort to build tree models with”
Forecasting with temporal hierarchies (2017, methodology): “This method is used by Athanasopoulos et al. (2009) with good empirical results and further developed by Wickramasuriya et al. (2015).”
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2020, background): “A recent application of global multivariate models is for hierarchical forecasting problems [7, 17, 176, 191].”