Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation

被引：0

作者：

Cunha, Americo ^{[1
]}

Barton, David A.W. ^{[2
]}

Ritto, Thiago G. ^{[3
]}

机构：

[1] Rio de Janeiro State University - UERJ, Institute of Mathematics and Statistics, Rio de Janeiro, Brazil

[2] University of Bristol, Faculty of Engineering, Bristol, United Kingdom

[3] Federal University of Rio de Janeiro - UFRJ, Department of Mechanical Engineering, Rio de Janeiro, Brazil

来源：

arXiv | 2022年

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Bayesian networks - Epidemiology - Machine learning - Ordinary differential equations - Uncertainty analysis

引用

共 50 条

[1] Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation
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[2] Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation
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