A Bayesian Structural Time Series Approach in Exploring the Main Drivers of Bitcoins Market Price

Additional Metadata
Keywords	Bayesian Structural Time Series; Bitcoin; Cryptocurrency; Forecasting; Spike-and-slab prior; Time-varying parameter model
Thesis Advisor	Camehl, A.M.
Persistent URL	hdl.handle.net/2105/62133
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Morsman, A.S. (2022). A Bayesian Structural Time Series Approach in Exploring the Main Drivers of Bitcoins Market Price. In Econometrie.http://hdl.handle.net/2105/62133

A Bayesian Structural Time Series Approach in Exploring the Main Drivers of Bitcoins Market Price