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A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.

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第一作者： Brandon,Robinson

第一单位： Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.

作者： Brandon,Robinson ^[1] ; Philippe,Bisaillon ^[1] ; Jodi D,Edwards ^[2] ; Tetyana,Kendzerska ^[3] ; Mohammad,Khalil ^[4] ; Dominique,Poirel ^[5] ; Abhijit,Sarkar ^[1]

作者单位： Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada. ^[1] School of Epidemiology and Public Health, University of Ottawa and University of Ottawa Heart Institute, Ottawa, Ontario, Canada.;ICES, Ottawa, Ontario, Canada. ^[2] ICES, Ottawa, Ontario, Canada.;The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.;Department of Medicine, Faculty of Medicine, Division of Respirology, University of Ottawa, Ottawa, Ontario, Canada. ^[3] Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA, USA. ^[4] Department of Mechanical and Aerospace Engineering, Royal Military College of Canada, Kingston, ON, Canada. ^[5]

关键词 Bayesian inference Stochastic compartmental models Time-varying parameter estimation

DOI 10.1016/j.idm.2024.04.002

PMID 39109181

发布时间 2024-08-08

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Infectious Disease Modelling

2024年9卷4期

1224-1249页

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Infectious Disease Modelling

2024年9卷4期

1224-1249页

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A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.

Infectious Disease Modelling

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Infectious Disease Modelling

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A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.

Infectious Disease Modelling

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Infectious Disease Modelling

相关期刊

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