Modeling Analysts’ Recommendations via Bayesian Machine Learning
Publication
, Journal Article
Bew, D; Harvey, CR; Ledford, A; Radnor, S; Sinclair, A
Published in: Journal of Financial Data Science
December 1, 2019
Duke Scholars
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Published In
Journal of Financial Data Science
DOI
EISSN
2640-3951
ISSN
2640-3943
Publication Date
December 1, 2019
Volume
1
Issue
1
Start / End Page
75 / 98
Citation
APA
Chicago
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Bew, D., Harvey, C. R., Ledford, A., Radnor, S., & Sinclair, A. (2019). Modeling Analysts’ Recommendations via Bayesian Machine Learning. Journal of Financial Data Science, 1(1), 75–98. https://doi.org/10.3905/jfds.2019.1.1.075
Bew, D., C. R. Harvey, A. Ledford, S. Radnor, and A. Sinclair. “Modeling Analysts’ Recommendations via Bayesian Machine Learning.” Journal of Financial Data Science 1, no. 1 (December 1, 2019): 75–98. https://doi.org/10.3905/jfds.2019.1.1.075.
Bew D, Harvey CR, Ledford A, Radnor S, Sinclair A. Modeling Analysts’ Recommendations via Bayesian Machine Learning. Journal of Financial Data Science. 2019 Dec 1;1(1):75–98.
Bew, D., et al. “Modeling Analysts’ Recommendations via Bayesian Machine Learning.” Journal of Financial Data Science, vol. 1, no. 1, Dec. 2019, pp. 75–98. Scopus, doi:10.3905/jfds.2019.1.1.075.
Bew D, Harvey CR, Ledford A, Radnor S, Sinclair A. Modeling Analysts’ Recommendations via Bayesian Machine Learning. Journal of Financial Data Science. 2019 Dec 1;1(1):75–98.
Published In
Journal of Financial Data Science
DOI
EISSN
2640-3951
ISSN
2640-3943
Publication Date
December 1, 2019
Volume
1
Issue
1
Start / End Page
75 / 98