zoom_in Drag to zoom
IDDinf - From £450.00
£450.00 / unit
| A short course on likelihood-based inference methods for infectious disease models: 7th-11th July 2025 | ||||
| IDDinf is a five-day short course hosted at Lancaster University. This hands-on course will provide a comprehensive introduction to likelihood-based statistical inference methods for stochastic infectious disease models. Attendees will be introduced to likelihood theory, MCMC methods, and particle filters through a series of lectures, programming workshops, and epidemic case-studies. On completion, they will have a deeper understanding of how likelihood-based inference methods work on infectious disease models, and be able to apply them to their own epidemiological problems. Pre-requisites: (1) Experience coding epidemic simulations (2) Familiarity with infectious disease epidemiology (3) Experience programming in Python* (4) A Google account is required (for Google Colab). * Alternatively, if you are confident programming in another scripting language (R, Matlab etc.) we ask that you complete a Python carpentry course before attending. Please Note: Accommodation should be booked separately. For further information please visit: https://gem-epidemics.gitlab.io/iddinf/. If you are affiliated to Lancaster University please email us at [email protected] before registering. |
All fields marked with * are mandatory.