Bayesian inference for nonlinear stochastic SIR epidemic model

DOI10.1080/00949655.2015.1107561OpenAlexW2275191493MaRDI QIDQ5222474

Abdellah Ouddadj, Sidali Becheket, Hamid El Maroufy, Tewfik Kernane

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1107561

zbMATH Keywords

diffusion processepidemic modelMCMC simulationconjugate distribution

Mathematics Subject Classification ID

Epidemiology (92D30) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Applications of continuous-time Markov processes on discrete state spaces (60J28)

Related Items (5)

Bayesian inference for a susceptible-exposed-infected-recovered epidemic model with data augmentation ⋮ A surrogate Bayesian framework for a SARS-CoV-2 data driven stochastic model ⋮ A note on Bayesian estimation of traffic intensity in single-server Markovian queues ⋮ Bayesian parameter inference for stochastic SIR epidemic model with hyperbolic diffusion ⋮ Bayesian inference of a stochastic diffusion process for the dynamic of HIV in closed heterosexual population with simulations and application to Morocco case

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