Statistics » Events

19/10-20/10: Chain Event Graphs in Ecological Frameworks: Building Interdisciplinary Foundations

Statistics — Fri, 08 May 2026 09:45:18 GMT

When: Mon, 19 Oct - Tue, 20 Oct '26

Where: Zeeman Buidling

Introductions of invasive non-native species are increasingly common and have huge ecological and economic costs, with cases regularly making mainstream headlines. The source of such outbreaks is often uncertain due to complex invasion pathways and diverse evidence. Chain event graphs offer a unique perspective bringing together mathematical descriptions of risk pathways, scientific evidence and expert knowledge for use in decision frameworks by policy-makers. Applying such approaches in the ecological domain has been largely unexplored and requires new interdisciplinary teams spanning mathematics, ecology, policy and social science to realise the full potential.

09/06 1pm-2:30pm: WEDIC

Statistics — Thu, 16 Apr 2026 15:02:20 GMT

When: 13:00 - 14:30, Wed, 09 Jun '27

Where: MB1.05

10/03 1pm-2:30pm: WEDIC

Statistics — Thu, 16 Apr 2026 15:01:50 GMT

When: 13:00 - 14:30, Wed, 10 Mar '27

Where: MB2.23

20/01 1pm-2:30pm: WEDIC

Statistics — Thu, 16 Apr 2026 15:01:28 GMT

When: 13:00 - 14:30, Wed, 20 Jan '27

Where: MB2.23

02/12 1pm-2:30pm: WEDIC

Statistics — Thu, 16 Apr 2026 15:00:49 GMT

When: 13:00 - 14:30, Wed, 02 Dec '26

Where: MB2.23

14/10 1pm-2:30pm: WEDIC

Statistics — Thu, 16 Apr 2026 14:57:50 GMT

When: 13:00 - 14:30, Wed, 14 Oct '26

Where: MB2.23

22/06 11am-11:30am: Staff Forum

Statistics — Wed, 15 Apr 2026 15:20:53 GMT

When: 11:00 - 11:30, Mon, 22 Jun '26

Where: Stats Common Room

17/06 1pm-2pm: IT Committee

Statistics — Tue, 31 Mar 2026 10:36:00 GMT

When: 13:00 - 14:00, Wed, 17 Jun '26

Where: Teams

11/06 5pm-6pm: YRM

Statistics — Tue, 24 Mar 2026 14:25:52 GMT

When: 17:00 - 18:00, Thu, 11 Jun '26

Where: Stats Common Room

18/06 5pm-6pm: YRM

Statistics — Tue, 24 Mar 2026 14:25:52 GMT

When: 17:00 - 18:00, Thu, 18 Jun '26

Where: Stats Common Room

25/06 5pm-6pm: YRM

Statistics — Tue, 24 Mar 2026 14:25:52 GMT

When: 17:00 - 18:00, Thu, 25 Jun '26

Where: Stats Common Room

02/07 5pm-6pm: YRM

Statistics — Tue, 24 Mar 2026 14:25:52 GMT

When: 17:00 - 18:00, Thu, 02 Jul '26

Where: Stats Common Room

01/07 11am-12pm: SF@W Seminars

Statistics — Tue, 24 Mar 2026 14:23:55 GMT

When: 11:00 - 12:00, Wed, 01 Jul '26

Where: B3.03 (Zeeman)

09/06 11am-12pm: Statistical Learning & Inference Seminars

Statistics — Tue, 24 Mar 2026 14:17:03 GMT

When: 11:00 - 12:00, Tue, 09 Jun '26

Where: (pls see webpage for location details)

16/06 11am-12pm: Statistical Learning & Inference Seminars

Statistics — Tue, 24 Mar 2026 14:17:03 GMT

When: 11:00 - 12:00, Tue, 16 Jun '26

Where: (pls see webpage for location details)

23/06 11am-12pm: Statistical Learning & Inference Seminars

Statistics — Tue, 24 Mar 2026 14:17:03 GMT

When: 11:00 - 12:00, Tue, 23 Jun '26

Where: (pls see webpage for location details)

12/06 1pm-2pm: Algorithms & Computationally Intensive Inference Seminars

Statistics — Tue, 24 Mar 2026 14:13:47 GMT

When: 13:00 - 14:00, Fri, 12 Jun '26

Where: MB0.08

19/06 1pm-2pm: Algorithms & Computationally Intensive Inference Seminars

Statistics — Tue, 24 Mar 2026 14:13:47 GMT

When: 13:00 - 14:00, Fri, 19 Jun '26

Where: MB0.08

26/06 1pm-2pm: Algorithms & Computationally Intensive Inference Seminars

Statistics — Tue, 24 Mar 2026 14:13:47 GMT

When: 13:00 - 14:00, Fri, 26 Jun '26

Where: MB0.08

08/07-10/07: Compositional Foundations of Statistics & Machine learning Workshop

Statistics — Fri, 06 Mar 2026 13:29:51 GMT

When: Wed, 08 Jul - Fri, 10 Jul '26

Where: B3.03 (Zeeman)

10/06 2pm-3pm: CRiSM colloquium - Bin Yu

Statistics — Tue, 24 Feb 2026 09:56:34 GMT

When: 14:00 - 15:00, Wed, 10 Jun '26

Where: B3.03

tbc

19/04 9am-23/04 3pm: UK Easter Probability Meeting

Statistics — Thu, 29 Jan 2026 12:34:06 GMT

When: 09:00, Mon, 19 Apr '27 - 15:00, Fri, 23 Apr '27

Where: TBC

22/06 1pm-24/06 2pm: ProbAI Theory of Scaling Laws Workshop 2026

Statistics — Wed, 28 Jan 2026 17:11:24 GMT

When: 13:00, Mon, 22 Jun '26 - 14:00, Wed, 24 Jun '26

Where: University of Warwick, Zeeman Building, MS.01

Overview

Modern neural networks operate at unprecedented scales across model size, data and compute. A central research problem is to understand how their performance scales with these factors, which guides how networks can be trained optimally at scale. In recent years, empirical heuristics for scaling have arguably driven much of the success of Large Language Models (LLMs). Theoretical work on scaling laws has also seen much fruitful progress, shedding light on empirical phenomena such as model collapse, emergence and training stability, while providing concrete practical insights on techniques such as hyperparameter tuning.

This three-day workshop will bring together researchers working at the frontiers of theoretical scaling laws to share their insights about the field. The workshop will be the first of its kind in the UK, inspired by successes of similar workshops in the US and Europe.

The first half of the workshop consists of introductory tutorials, with the aim of equipping attendees with basic tools for framing and understanding problems in this field;
The second half will feature talks on latest research advances.

The aim is for researchers across academia and industry to learn about and participate in this active field of research, which has seen many fruitful empirical outcomes.

29/06-03/07: Statistics Summer School at Warwick 2026

Statistics — Tue, 02 Dec 2025 16:13:38 GMT

When: Mon, 29 Jun - Fri, 03 Jul '26

Where: University of Warwick, Zeeman Building, MS.03

LMS Research Summer School in Robust Statistics and Reliable Learning Algorithms

Following on from the success of the P@W Summer SchoolLink opens in a new windowLink opens in a new window in 2025, the LMS Research Summer School in Robust Statistics and Reliable Learning Algorithms will be held at the University of Warwick from the 29th June to 3rd July 2026. We gratefully acknowledge support from the London Mathematical Society and CRiSM.

The ambition of the summer school is to expose PhD students and early-career researchers to research themes at the forefront of robust statistics, broadly interpreted. It will feature three lecture courses and plenary talks by the world's leading experts in the field, covering topics such as: conformal prediction and distribution-free inference, algorithmic robustness and stability, differential privacy and data contamination. There will also be the opportunity for attendees to present their work, social events and a summer school dinner.

07/09-11/09: APTS

Statistics — Tue, 23 Sep 2025 13:39:03 GMT

When: Mon, 07 Sept - Fri, 11 Sept '26

Where: Durham

20/07-24/07: APTS

Statistics — Tue, 23 Sep 2025 13:38:31 GMT

When: Mon, 20 Jul - Fri, 24 Jul '26

Where: St Andrews

30/06 1pm-3pm: Management Group

Statistics — Mon, 07 Jul 2025 10:38:38 GMT

When: 13:00 - 15:00, Tue, 30 Jun '26

Where: MB1.05

09/06 1pm-3pm: Management Group

Statistics — Mon, 07 Jul 2025 10:38:03 GMT

When: 13:00 - 15:00, Tue, 09 Jun '26

Where: MB1.05