Estimating the parameters of epidemic spread on two-layer random graphs: a classical and a neural network approach
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Publication:6662550
DOI10.1007/S42519-024-00405-3MaRDI QIDQ6662550
Damján Tárkányi, Edit Bognár, Villo Csiszár, Ágnes Backhausz, A. Zempléni
Publication date: 14 January 2025
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
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Cites Work
- Mathematics of epidemics on networks. From exact to approximate models
- Analysis of a stochastic SIR epidemic on a random network incorporating household structure
- Epidemics with two levels of mixing
- A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods
- A tutorial introduction to Bayesian inference for stochastic epidemic models using approximate Bayesian computation
- The impact of spatial and social structure on an SIR epidemic on a weighted multilayer network
- Generalized Preferential Attachment: Tunable Power-Law Degree Distribution and Clustering Coefficient
- Emergence of Scaling in Random Networks
- Threshold behaviour and final outcome of an epidemic on a random network with household structure
- Chapter 3 SIR Epidemics on Configuration Model Graphs
- Mathematical Models in Epidemiology
- Epidemic models on social networks—With inference
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