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)