Wasserstein barycenter regression for estimating the joint dynamics of renewable and fossil fuel energy indices
Maria Elena De Giuli, Alessandro Spelta
| Year of publication: |
2023
|
|---|---|
| Authors: | De Giuli, Maria Elena ; Spelta, Alessandro |
| Published in: |
Computational management science. - Heidelberg : Springer, ISSN 1619-6988, ZDB-ID 2107564-5. - Vol. 20.2023, 1, Art.-No. 1, p. 1-17
|
| Subject: | Density forecast estimation | Fossil fuel indices | Renewable energy indices | Wasserstein barycenters | Erneuerbare Energie | Renewable energy | Fossile Energie | Fossil fuel | Welt | World | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Regressionsanalyse | Regression analysis | Energiestatistik | Energy statistics |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10287-023-00436-4 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014228504