preprint

Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field

CV, Anoop and Negi, Neeraj and Aprem, Anup

arXiv preprint arXiv:2308.01013 · 2023

Reference

Cite this work

CV, Anoop and Negi, Neeraj and Aprem, Anup (2023). Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field. arXiv preprint arXiv:2308.01013

Other citation formats

IEEE

CV, Anoop and Negi, Neeraj and Aprem, Anup, “Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field,” arXiv preprint arXiv:2308.01013, 2023.

MLA

CV, Anoop and Negi, Neeraj and Aprem, Anup. “Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field.” arXiv preprint arXiv:2308.01013, 2023.

Chicago

BibTeX

@article{bayesian-framework-for-characterizing-cryptocurrency-market-dynamics-structural-dependency-and-volatility-using-potential-field-2023,
	title = {Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field},
	author = {CV, Anoop and Negi, Neeraj and Aprem, Anup},
	journal = {arXiv preprint arXiv:2308.01013},
	year = {2023}
}