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 (15–19 December 2025)

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.

Handbook TBC

Week 2: Nottingham (13–17 April 2026)

Local organisers: Riccardo Corradin Riccardo.Corradin@nottingham.ac.uk
Modules: Statistical Modelling (Ioannis Kosmidis); High-dimensional Statistics (Po-Ling Loh)

Directions See the handbook.

Handbook TBC

Week 3: St Andrews (20–24 July 2026)

Local organisers: Giorgos Minas gm256 at st-andrews dot ac dot uk
Modules: Applied Stochastic Processes (Hugo Lo); Computer Intensive Statistics (Andi Wang);

Directions See the handbook.

Handbook TBC

Week 4: Durham (7–11 September 2026)

Local organiser: Georgios Karagiannis georgios dot karagiannis at durham dot ac dot uk, Cuong V. Nguyen viet.c.nguyen@durham.ac.uk.
Modules: Causal Inference (Vanessa Didelez and Robin Evans); Statistical Machine Learning (Louis Aslett)

Directions See handbook below.

Handbook TBC

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