A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19-Reference-Cited by-同舟云学术

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A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19

Published:2022-05-06 Issue: Volume: Page:1-15
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Saraiva E. F.¹^ORCID,Sauer L.²,Pereira C. A. B.³

Affiliation:

1. Instituto de Matemática, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil

2. Escola de Administraç ao e Negócios, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil

3. Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, Brazil

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2070136

Reference10 articles.

1. Generalized logistic growth modeling of the COVID-19 pandemic in Asia

2. Weak convergence of Metropolis algorithms for non-i.i.d. target distributions

3. Understanding the Metropolis-Hastings Algorithm

4. Estimation of exponential growth rate and basic reproduction number of the coronavirus disease 2019 (COVID-19) in Africa

Cited by 2 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. Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency;Advanced Engineering Informatics;2024-10

2. Estimation and prediction of the multiply exponentially decaying daily case fatality rate of COVID-19;The Journal of Supercomputing;2023-02-23

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