A Frequency Domain Method for the Estimation and Forecasting of Spatial Big Data
| Year of publication: |
2019
|
|---|---|
| Authors: | Fernandez-Macho, Javier |
| Publisher: |
[2019]: [S.l.] : SSRN |
| Subject: | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Big Data | Big data |
| Description of contents: |
This paper presents a method for estimating and forecasting global data, based on a novel space-time extension of a discrete thin-plate smoothing (DTPS) model in the frequency domain
|
freely available
| Extent: | 1 Online-Ressource (7 p) |
|---|---|
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 25, 2019 erstellt |
| Other identifiers: | 10.2139/ssrn.3402752 [DOI] |
| Classification: | c18 ; C23 - Models with Panel Data |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012868604