Multivariate dynamic modeling for Bayesian forecasting of business revenue-Reference-Cited by-同舟云学术

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Multivariate dynamic modeling for Bayesian forecasting of business revenue

Published:2022-07-19 Issue: Volume: Page:
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stoch Models Bus & Ind

Author:

Yanchenko Anna K.¹,Tierney Graham¹,Lawson Joseph¹,Hellmayr Christoph²,Cron Andrew²,West Mike¹

Affiliation:

1. Department of Statistical Science Duke University Durham North Carolina USA

2. 84.51^∘ Cincinnati Ohio USA

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.2704

Reference15 articles.

1. Time Series

2. Bayesian Forecasting of Many Count-Valued Time Series

3. Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions

4. The history of forecasting models in revenue management

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of Bayesian dynamic forecasting models: Applications in marketing;Applied Stochastic Models in Business and Industry;2023-03-31

2. Discussion of “Multivariate dynamic modeling for Bayesian forecasting of business revenue”;Applied Stochastic Models in Business and Industry;2023-02-21

3. Discussion of “Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue”;Applied Stochastic Models in Business and Industry;2022-11-02

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