Authors and Citation
Citation
Source: inst/CITATION
Girolimetto D, Di Fonzo T (2024). FoReco: Forecast Reconciliation. R package version 1.0. doi:10.32614/CRAN.package.FoReco, https://cran.r-project.org/package=FoReco.
@Manual{, title = {FoReco: Forecast Reconciliation}, author = {Daniele Girolimetto and Tommaso {Di Fonzo}}, organization = {R package version 1.0}, year = {2024}, doi = {10.32614/CRAN.package.FoReco}, url = {https://cran.r-project.org/package=FoReco}, }
Di Fonzo T, Girolimetto D (2023). “Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives.” International Journal of Forecasting, 39(1), 134. doi:10.1016/j.ijforecast.2021.08.004.
@Article{, title = {Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives}, author = {Tommaso {Di Fonzo} and Daniele Girolimetto}, journal = {International Journal of Forecasting}, volume = {39}, year = {2023}, number = {1}, pages = {134}, doi = {10.1016/j.ijforecast.2021.08.004}, }
Girolimetto D, Athanasopoulos G, Di Fonzo T, Hyndman R (2024). “Cross-temporal probabilistic forecast reconciliation: Methodological and practical issues.” International Journal of Forecasting, 40(3), 2285. doi:10.1016/j.ijforecast.2023.10.003.
@Article{, title = {Cross-temporal probabilistic forecast reconciliation: Methodological and practical issues}, author = {Daniele Girolimetto and George Athanasopoulos and Tommaso {Di Fonzo} and Rob J Hyndman}, journal = {International Journal of Forecasting}, volume = {40}, year = {2024}, number = {3}, pages = {2285}, doi = {10.1016/j.ijforecast.2023.10.003}, }