Optimal Reconciliation
Optimal Reconciliation is a hierarchical forecasting method that belongs to the class of reconciliation approaches by minimizing the expected forecast error across all levels of a hierarchy through a statistically justified combination of base forecasts using a weighting scheme derived from the covariance structure of the errors.
10
Publications
498
Citations
24
Authors
12
Institutions
Publications per year
2017–2026
5
Parents
10
1–5 of 10
24
3
h-index
2
h-index
2
h-index
1
h-index
Institut national de recherche en sciences et technologies du numérique, France
1 publications · 22 citations
1
h-index
1–5 of 24
12

Monash University
Melbourne, Australia
2 h-index
3 publications
640 citations

University of Auckland
Auckland, New Zealand
2 h-index
2 publications
336 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
1 h-index
1 publications
16 citations

Beihang University
Beijing, China
1 h-index
2 publications
34 citations
East China University of Science and Technology
Shanghai, China
1 h-index
4 publications
76 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
1 h-index
1 publications
22 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
17 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
2 publications
36 citations
1–8 of 12
Repository · 1 publications · 16 citations
1
h-index
Conference · 1 publications · 10 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5