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Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 doi:10.1016/j.ijforecast.2021.08.004 ) and probabilistic (Girolimetto et al. 2023 doi:10.1016/j.ijforecast.2023.10.003 ) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.

Author

Maintainer: Daniele Girolimetto daniele.girolimetto@unipd.it (ORCID) [funder]

Authors:

  • Tommaso Di Fonzo (ORCID) [funder]