Zörner, Thomas. 2019. Predicting crypto-currencies using sparse non-Gaussian state space models. 2nd International Conference on Data Science in Finance with R, Vienna, Österreich, 18.09.-20.09. Invited Talk
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| Status of publication | Published |
|---|---|
| Affiliation | WU |
| Type of publication | Paper presented at an academic conference or symposium |
| Language | English |
| Title | Predicting crypto-currencies using sparse non-Gaussian state space models |
| Event | 2nd International Conference on Data Science in Finance with R |
| Year | 2019 |
| Date | 18.09.-20.09. |
| Country | Austria |
| Location | Vienna |
| URL | http://dsf.academy/conference/ |
| Invited Talk | Y |
Associations
- People
- Zörner, Thomas (Details)
- Organization
- Department of Economics (Crespo Cuaresma) (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1145 Time series analysis (Details)
- 5323 Econometrics (Details)
- 5335 Political economic theory (Details)
- 5371 Macroeconomics (Details)