References in zbMATH (referenced in 13 articles , 2 standard articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Barbillon, Pierre; Schwaller, Loïc; Robin, Stéphane; Flachs, Andrew; Stone, Glenn Davis: Epidemiologic network inference (2020)
  2. Justin Angevaare, Zeny Feng, Rob Deardon: Infectious Disease Transmission Network Modelling with Julia (2020) arXiv
  3. Marina Knight, Kathryn Leeming, Guy Nason, Matthew Nunes: Generalized Network Autoregressive Processes and the GNAR Package (2020) not zbMATH
  4. Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon: Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT (2020) arXiv
  5. Wikle, Nathan B.; Hanks, Ephraim M.; Hughes, David P.: A dynamic individual-based model for high-resolution ant interactions (2019)
  6. Chris Groendyke; David Welch: epinet: An R Package to Analyze Epidemics Spread across Contact Networks (2018) not zbMATH
  7. Karabatsos, George; Leisen, Fabrizio: An approximate likelihood perspective on ABC methods (2018)
  8. Lee, Clement; Garbett, Andrew; Wilkinson, Darren J.: A network epidemic model for online community commissioning data (2018)
  9. Samuel Jenness; Steven Goodreau; Martina Morris: EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks (2018) not zbMATH
  10. Sainudiin, Raazesh; Welch, David: The transmission process: a combinatorial stochastic process for the evolution of transmission trees over networks (2016)
  11. Artalejo, J. R.; Economou, A.; Lopez-Herrero, M. J.: The stochastic SEIR model before extinction: computational approaches (2015)
  12. Vu, Duy Q.; Hunter, David R.; Schweinberger, Michael: Model-based clustering of large networks (2013)
  13. Groendyke, Chris; Welch, David; Hunter, David R.: Bayesian inference for contact networks given epidemic data (2011)