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epiABC

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Software:35107
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swMATH23334MaRDI QIDQ35107


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Source code repository: https://github.com/kypraios/epiABC



Described by source

  • A tutorial introduction to Bayesian inference for stochastic epidemic models using approximate Bayesian computation


Related Items (10)

Direct statistical inference for finite Markov jump processes via the matrix exponential ⋮ An approximate likelihood perspective on ABC methods ⋮ A rare event approach to high-dimensional approximate Bayesian computation ⋮ Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data ⋮ Global dynamics of deterministic and stochastic epidemic systems with nonmonotone incidence rate ⋮ Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models ⋮ Bayesian inference of spreading processes on networks ⋮ Approximate Bayesian computational methods for the inference of unknown parameters ⋮ Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs ⋮ Bayesian inference for multistrain epidemics with application to \textit{Escherichia coli} O157:H7 in feedlot cattle


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This page was last edited on 5 March 2024, at 20:39.
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