Discussion of “Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue”
Author:
Affiliation:
1. Department of Information Systems Business Statistics and Operations Management, The Hong Kong University of Science and Technology Clear Water Bay Hong Kong
2. Department of Statistics Feng Chia University Taichung Taiwan
Publisher
Wiley
Subject
Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2725
Reference5 articles.
1. Multivariate dynamic modeling for Bayesian forecasting of business revenue;Yanchenko AK;Appl Stoch Model Bus Ind,2023
2. Bayesian Forecasting of Many Count-Valued Time Series
3. YanchenkoAK DengDD LiJ CronAJ WestM.Hierarchical dynamic modeling for individualized Bayesian forecasting. arXiv preprint.https://arxiv.org/abs/2101.03408
4. Assessing Government Policies’ Impact on the COVID-19 Pandemic and Elderly Deaths in East Asia
5. Examining Food Purchase Behavior and Food Values During the COVID ‐19 Pandemic
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