• Media type: E-Book; Conference Proceedings
  • Title: Stochastic Epidemic Models with Inference
  • Contributor: Britton, Tom [HerausgeberIn]; Pardoux, Etienne [HerausgeberIn]; Ball, Frank [MitwirkendeR]; Larédo, Catherine [MitwirkendeR]
  • imprint: Cham: Springer, [2019]
  • Published in: Lecture notes in mathematics ; 2255
    Springer eBook Collection
    Mathematics and Statistics
  • Extent: 1 Online-Ressource (XVIII, 474 Seiten); Illustrationen, Diagramme
  • Language: English
  • DOI: 10.1007/978-3-030-30900-8
  • ISBN: 9783030309008
  • Identifier:
  • RVK notation: SK 850 : Angewandte Statistik, Tabellen
  • Keywords: Biomathematik > Stochastisches Modell > Epidemie
  • Origination:
  • Footnote: "The current volume is the late outcome of a two-week ICPAM/CIMPA school which took place from December 5 to December 16, 2015, in Ziguinchor, Senegal." - Vorwort
  • Description: Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo). The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout