Bayesian state space models in business cycle research and economic forecasting
presented by Florian Andreas Eckert (M.A. in Banking and Finance, University of Zurich, B.A. in Economics, University of Zurich)
| Year of publication: |
2021
|
|---|---|
| Authors: | Eckert, Florian |
| Publisher: |
Zurich : KOF Swiss Economic Institute, ETH Zurich |
| Subject: | Zustandsraummodell | State space model | Bayes-Statistik | Bayesian inference | Wirtschaftsprognose | Economic forecast | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model |
| Extent: | xv, 246 Seiten Illustrationen |
|---|---|
| Series: | KOF dissertation series. - Zürich, ZDB-ID 2573827-6. - Vol. no. 51 (2021) |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Hochschulschrift ; Aufsatzsammlung |
| Language: | English |
| Thesis: | Dissertation, ETH Zurich, 2021 |
| Notes: | Erscheint auch als Online-Ausgabe Zusammenfassung in deutscher und englischer Sprache |
| Other identifiers: | 10.3929/ethz-b-000519702 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012697797