/sbied

Simulation-based Inference for Epidemiological Dynamics

Primary LanguageHTMLOtherNOASSERTION

Simulation-based Inference for Epidemiological Dynamics

These are notes from a short course given by Ed Ionides and Aaron King at the Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID). From the main page, links lead to pages on a number of specific topics, culminating in four case studies that exemplify the methods and raise key issues. For each such page, there is a corresponding R script, which contains the codes needed to recapitulate the calculations. This script is a starting point for students to follow, explore, and modify the analysis according to their own curiosity and interest.


CC-BY-NC

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Under its terms, you are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.