Statistics » Events

17/11 1pm-3pm: Management Group

Statistics — Tue, 27 Oct 2026 12:33:35 GMT

When: 13:00 - 15:00, Tue, 17 Nov '26

25/11 10am-12pm: Research Committee

Statistics — Fri, 16 Oct 2026 10:36:05 GMT

When: 10:00 - 12:00, Wed, 25 Nov '26

Where: MB2.22

02/11 12pm-1pm: Using Lean

Statistics — Mon, 12 Oct 2026 12:13:14 GMT

When: 12:00 - 13:00, Mon, 02 Nov '26

Where: Stats Common Room

02/12 11am-12pm: SF@W

Statistics — Mon, 12 Oct 2026 11:57:33 GMT

When: 11:00 - 12:00, Wed, 02 Dec '26

Where: B3.03, Zeeman

18/11 11am-12pm: SF@W

Statistics — Mon, 12 Oct 2026 11:56:52 GMT

When: 11:00 - 12:00, Wed, 18 Nov '26

Where: B3.03, Zeeman

04/11 11am-12pm: SF@W

Statistics — Mon, 12 Oct 2026 11:55:52 GMT

When: 11:00 - 12:00, Wed, 04 Nov '26

Where: B3.03, Zeeman

03/11 11am-12pm: Statistical Learning & Inference Seminar

Statistics — Mon, 12 Oct 2026 11:52:43 GMT

When: 11:00 - 12:00, Tue, 03 Nov '26

Where: MB2.22

10/11 11am-12pm: Statistical Learning & Inference Seminar

Statistics — Mon, 12 Oct 2026 11:52:43 GMT

When: 11:00 - 12:00, Tue, 10 Nov '26

Where: MB2.22

17/11 11am-12pm: Statistical Learning & Inference Seminar

Statistics — Mon, 12 Oct 2026 11:52:43 GMT

When: 11:00 - 12:00, Tue, 17 Nov '26

Where: MB2.22

24/11 11am-12pm: Statistical Learning & Inference Seminar

Statistics — Mon, 12 Oct 2026 11:52:43 GMT

When: 11:00 - 12:00, Tue, 24 Nov '26

Where: MB2.22

01/12 11am-12pm: Statistical Learning & Inference Seminar

Statistics — Mon, 12 Oct 2026 11:52:43 GMT

When: 11:00 - 12:00, Tue, 01 Dec '26

Where: MB2.22

08/12 11am-12pm: Statistical Learning & Inference Seminar

Statistics — Mon, 12 Oct 2026 11:52:43 GMT

When: 11:00 - 12:00, Tue, 08 Dec '26

Where: MB2.22

04/11 4pm-5pm: Probability Seminars

Statistics — Mon, 12 Oct 2026 11:49:37 GMT

When: 16:00 - 17:00, Wed, 04 Nov '26

Where: B3.02 Zeeman

11/11 4pm-5pm: Probability Seminars

Statistics — Mon, 12 Oct 2026 11:49:37 GMT

When: 16:00 - 17:00, Wed, 11 Nov '26

Where: B3.02 Zeeman

18/11 4pm-5pm: Probability Seminars

Statistics — Mon, 12 Oct 2026 11:49:37 GMT

When: 16:00 - 17:00, Wed, 18 Nov '26

Where: B3.02 Zeeman

25/11 4pm-5pm: Probability Seminars

Statistics — Mon, 12 Oct 2026 11:49:37 GMT

When: 16:00 - 17:00, Wed, 25 Nov '26

Where: B3.02 Zeeman

02/12 4pm-5pm: Probability Seminars

Statistics — Mon, 12 Oct 2026 11:49:37 GMT

When: 16:00 - 17:00, Wed, 02 Dec '26

Where: B3.02 Zeeman

09/12 4pm-5pm: Probability Seminars

Statistics — Mon, 12 Oct 2026 11:49:37 GMT

When: 16:00 - 17:00, Wed, 09 Dec '26

Where: B3.02 Zeeman

06/01 10am-12pm: DCM

Statistics — Mon, 12 Oct 2026 10:24:39 GMT

When: 10:00 - 12:00, Wed, 06 Jan '27

Where: Stats Common Room

12/07-16/07: LMS/ P@W Summer School - Large Scale Universal Properties of Random Systems

Statistics — Sat, 03 Oct 2026 12:42:05 GMT

When: Mon, 12 Jul - Fri, 16 Jul '27

Where: MS.03, Zeeman Building, 91Ӱ��ƽ��

Following the success of the firstLink opens in a new windowLink opens in a new window, the second edition of the P@W Summer School investigates the large-scale behaviour and properties of statistical mechanics systems, which represent one of the most compelling drivers of modern research in Probability and its applications to Statistics, Data Science and Machine Learning. The aim of the school is to engage PhD students and early-career researchers with cutting-edge topics at the frontiers of current knowledge. It will feature four lecture courses by leading experts that will explore recent developments on different themes: stochastic PDEs and homogenisation, interacting particle systems, mixing and cut-off phenomena. The programme will be complemented by discussion and exercise sessions so to maximise interaction among participants and speakers.

22/04: Prob_AI at the Interface of Reinforcement Learning & Evolutionary Biology 2027

Statistics — Sat, 03 Oct 2026 12:32:57 GMT

When: Thu, 22 Apr '27

Where: MS0.7, MSB, 91Ӱ��ƽ��

Reinforcement Learning (RL) has emerged as a fundamental tool for the design of artificial agents possessing optimality and safety guarantees. A series of results has established that the behaviour learnt by RL agents interacting with one another can be understood using the tools of evolutionary game theory – for example, one can investigate conditions under which agents’ learnt policies converge to Evolutionarily Stable Strategies of the underlying game. Issues such as the emergence of cooperation, the tragedy of the commons, partner selection, population structure, and the exploration/exploitation trade-off are key questions in the study of both artificial intelligence and evolutionary biology and can be described using similar underlying mathematical frameworks. The aim of this workshop is to explore recent developments at this interface, to discuss open questions, and to bring together researchers from both communities.

19/04-23/04: UK Easter Probability Meeting

Statistics — Fri, 02 Oct 2026 12:40:39 GMT

When: Mon, 19 Apr - Fri, 23 Apr '27

Where: MS.03, Zeeman Building, 91Ӱ��ƽ��

06/11 11am-12pm: Applied Probability Seminars