Cross-temporal forecast reconciliation at digital platforms with machine learning
Jeroen Rombouts, Marie Ternes, Ines Wilms
| Year of publication: |
2025
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|---|---|
| Authors: | Rombouts, Jeroen V. K. ; Ternes, Marie ; Wilms, Ines |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier Science, ISSN 0169-2070, ZDB-ID 1495951-3. - Vol. 41.2025, 1, p. 321-344
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| Subject: | Cross-temporal aggregation | Demand forecasting | Forecast reconciliation | Hierarchical time series | Machine learning | Platform econometrics | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Digitale Plattform | Digital platform | Zeitreihenanalyse | Time series analysis | Prognose | Forecast | Ökonometrie | Econometrics | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2024.05.008 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015440324