Information regarding individual APTS weeks
Below you can find information regarding local arrangements for each APTS week, including contact details, provisional timetables and travel advice. You will be notified by email when important new information appears here relating to an APTS week for which you are registered.
APTS weeks are face-to-face only, there is no online alternative.
Please note: if you have a query regarding any local arrangements for a given week, you should contact the local organisers (whose details will be listed below nearer the time of the respective APTS week), and not APTS itself. If extra accommodation is needed (for instance before or after APTS week), students will need to make their own arrangements for accommodation, and ask to be billed separately and independently from APTS. They can contact the local organisers of each week to see if they can arrange for their accommodation to be extended (but there is no guarantee they can do this), and if it works, the extension needs to be charged to the student or to your department directly.
Week 1: Oxford (9–13 December 2024)
- Local organisers: Geoff Nicholls nicholls at stats dot ox dot ac dot uk, Beverley Lane lane at stats dot ox dot ac dot uk
- Modules: Statistical Computing (Matteo Fasiolo and Anthony Lee); Statistical Inference (Michael Goldstein)
Directions: See the handbook (below).
Week 2: Durham (22–25 April 2025)
- Local organisers: Georgios Karagiannis georgios dot karagiannis at durham dot ac dot uk, Cuong V. Nguyen viet.c.nguyen@durham.ac.uk.
- Modules: Applied Stochastic Processes (Nicholas Georgiou and Hugo Lo); Statistical Modelling (Ioannis Kosmidis)
Directions See the handbook below.
Week 3: Bristol (21–25 July 2025)
- Local organisers: Mathieu Gerber mathieu dot gerber at bristol dot ac dot uk
- Modules: Computer Intensive Statistics (Richard Everitt and Andi Wang); High-dimensional Statistics (Po-Ling Loh)
Directions See the handbook below.
Week 4: Southampton (1–5 September 2025)
- Local organiser: Dave Woods d dot woods at soton dot ac dot uk
- Modules: Causal Inference (Vanessa Didelez, Robin Evans and Karla Diaz Ordaz); Statistical Machine Learning (Louis Aslett)
Directions See handbook below.
• Contact APTS •