A critical overview of privacy-preserving approaches for collaborative forecasting
Carla Gonçalves, Ricardo J. Bessa, Pierre Pinson
| Year of publication: |
2021
|
|---|---|
| Authors: | Gonçalves, Carla ; Bessa, Ricardo J. ; Pinson, Pierre |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 37.2021, 1, p. 322-342
|
| Subject: | Vector autoregression | Forecasting | Time series | Privacy-preserving | ADMM | Theorie | Theory | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis |
| Description of contents: | Description [doi.org] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1321-1322 |
| Other identifiers: | 10.1016/j.ijforecast.2020.06.003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012692721