Quotation 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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Publication's profile

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

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Zörner, Thomas (Details)
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Institute for Macroeconomics IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1145 Time series analysis (Details)
5323 Econometrics (Details)
5335 Political economic theory (Details)
5371 Macroeconomics (Details)
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