Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue
Publication
, Journal Article
Yanchenko, AK; Tierney, G; Lawson, J; Hellmayr, C; Cron, A; West, M
Published in: Applied Stochastic Models in Business and Industry
May 1, 2023
Duke Scholars
Published In
Applied Stochastic Models in Business and Industry
DOI
EISSN
1526-4025
ISSN
1524-1904
Publication Date
May 1, 2023
Volume
39
Issue
3
Start / End Page
327 / 332
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 4901 Applied mathematics
- 3502 Banking, finance and investment
- 1502 Banking, Finance and Investment
- 0104 Statistics
- 0102 Applied Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Yanchenko, A. K., Tierney, G., Lawson, J., Hellmayr, C., Cron, A., & West, M. (2023). Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue. Applied Stochastic Models in Business and Industry, 39(3), 327–332. https://doi.org/10.1002/asmb.2760
Yanchenko, A. K., G. Tierney, J. Lawson, C. Hellmayr, A. Cron, and M. West. “Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue.” Applied Stochastic Models in Business and Industry 39, no. 3 (May 1, 2023): 327–32. https://doi.org/10.1002/asmb.2760.
Yanchenko AK, Tierney G, Lawson J, Hellmayr C, Cron A, West M. Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue. Applied Stochastic Models in Business and Industry. 2023 May 1;39(3):327–32.
Yanchenko, A. K., et al. “Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue.” Applied Stochastic Models in Business and Industry, vol. 39, no. 3, May 2023, pp. 327–32. Scopus, doi:10.1002/asmb.2760.
Yanchenko AK, Tierney G, Lawson J, Hellmayr C, Cron A, West M. Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue. Applied Stochastic Models in Business and Industry. 2023 May 1;39(3):327–332.
Published In
Applied Stochastic Models in Business and Industry
DOI
EISSN
1526-4025
ISSN
1524-1904
Publication Date
May 1, 2023
Volume
39
Issue
3
Start / End Page
327 / 332
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 4901 Applied mathematics
- 3502 Banking, finance and investment
- 1502 Banking, Finance and Investment
- 0104 Statistics
- 0102 Applied Mathematics