Information regarding individual APTS weeks 2022-2023
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.
The intention is to return to face-to-face APTS weeks. If we are unable to have sufficient confidence that an APTS week can proceed safely (APTS reserves the right to make this assessment at its sole discretion) then all reasonable attempts will be made to ensure that an online alternative will run in its place.
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: Warwick (13*–16 December 2022)
*Please note the unusual Tuesday start.
- Local organisers: Massimiliano Tamborrino - massimiliano dot tamborrino at warwick dot ac dot uk, Nicholas Tawn - N dot Tawn dot 1 at warwick dot ac dot uk, Jane Hutton - J dot L dot Hutton at warwick dot ac dot uk, Christian Robert - C dot A dot M dot Robert at warwick dot ac dot uk
- Modules: Statistical Computing (Darren Wilkinson); Statistical Inference (Simon Shaw)
Directions: See hereLink opens in a new window and the handbook (below).
Handbook (PDF) (Updated 5/12/2022)
Week 2: Oxford (20–24 March 2023)
- Local organiser: Geoff Nicholls nicholls at stats dot ox dot ac dot uk
- Modules: Applied Stochastic Processes (Nicholas Georgiou and Matt Roberts); Statistical Modelling (Helen Ogden)
Directions See the handbook below.
Handbook (PDF) [Updated 10/03/2023]
Week 3: Durham (10–14 July 2023)
- Local organisers: Andrew Golightly, andrew dot golightly at durham dot ac dot uk, Tahani Coolen-Maturi tahani dot maturi at durham dot ac dot uk
- Modules: Computer Intensive Statistics (Richard Everitt); High-dimensional Statistics (Yi Yu)
Directions See the handbook below.
Handbook (PDF)
Week 4: Glasgow (14–18 August 2023)
- Local organiser: Tereza Neocleous, Tereza dot Neocleous at glasgow dot ac dot uk
- Modules: Causal Inference (Vanessa Didelez and Robin Evans); Statistical Machine Learning (Louis Aslett)
Directions See handbook below.
Handbook (PDF) [Last updated 8/08/2023]
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