Bayesian inference of a stochastic diffusion process for the dynamic of HIV in closed heterosexual population with simulations and application to Morocco case
From MaRDI portal
Publication:2109470
DOI10.1016/j.apm.2022.02.014zbMath1503.92060OpenAlexW4213337006MaRDI QIDQ2109470
Hamid El Maroufy, Zakaria Boufis, Abdellah Abou-Bakre, Tewfik Kernane
Publication date: 21 December 2022
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2022.02.014
parameter estimationPoisson processdiffusion approximationsBayesian inferenceSIR epidemic modelHIV dynamic
Epidemiology (92D30) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)
Cites Work
- Unnamed Item
- Mathematical epidemiology.
- On a general stochastic epidemic model
- Strong approximation theorems for density dependent Markov chains
- Asymptotic methods for the Fokker-Planck equation and the exit problem in applications
- Stochastic epidemic models and their statistical analysis
- The Fokker-Planck equation. Methods of solutions and applications.
- Note on the threshold theorem of a heterogeneous SIR epidemic
- Inference for Diffusion Processes
- Bayesian inference for stochastic epidemics in closed populations
- Bayesian Inference for Stochastic Epidemics in Populations with Random Social Structure
- Likelihood Inference for Discretely Observed Nonlinear Diffusions
- Transmission of Pneumococcal Carriage in Families: A Latent Markov Process Model for Binary Longitudinal Data
- Beyond the Triangle
- Bayesian parameter inference for stochastic SIR epidemic model with hyperbolic diffusion
- Parameter inference for HIV stochastic diffusion model in closed heterosexual population
- Bayesian inference for a susceptible-exposed-infected-recovered epidemic model with data augmentation
- Stochastic Epidemic Models with Inference
- Bayesian inference for nonlinear stochastic SIR epidemic model
- Bayesian Inference for Stochastic Multitype Epidemics in Structured Populations Via Random Graphs
- Solutions of ordinary differential equations as limits of pure jump markov processes