Congratulations to Paul Balister, Martin Bridson, Ben Green and James Maynard who have won Frontiers of Science awards 2026. The awards will be presented at the International Congress of Basic Science in Beijing, China in August.

Wed, 10 Jun 2026
11:00
L4

A short course on Rough Stochastic Differential Equations (RSDEs) and Applications (Lecture 3/3)

Prof. Peter Friz
(TU Berlin)
Abstract

Recent advances at the interface of stochastic analysis, rough path theory, stochastic filtering, stochastic control, and mean-field systems have led to a rapidly developing framework for analyzing stochastic dynamics conditioned on common/observation noise. This mini course  will survey how rough stochastic differential equations, introduced in 2021 by A. Hocquet, K. Lê and the speaker, lead to a unifying perspective across several areas of applied probability. (Additional coauthors include F. Bugini, J. Dause, W. Stannat, H. Zhang and P.Zorin-Kranich).

 

 

 

Further Information

This mini course will develop in three lectures on the Wednesdays 20/5, 3/6, 10/6 at 11am in L4

Wed, 03 Jun 2026
11:00
L4

A short course on Rough Stochastic Differential Equations (RSDEs) and Applications (Lecture 2/3)

Prof. Peter Friz
(TU Berlin)
Abstract

Recent advances at the interface of stochastic analysis, rough path theory, stochastic filtering, stochastic control, and mean-field systems have led to a rapidly developing framework for analyzing stochastic dynamics conditioned on common/observation noise. This mini course  will survey how rough stochastic differential equations, introduced in 2021 by A. Hocquet, K. Lê and the speaker, lead to a unifying perspective across several areas of applied probability. (Additional coauthors include F. Bugini, J. Dause, W. Stannat, H. Zhang and P.Zorin-Kranich).

 

 

Further Information

This mini course will develop in three lectures on the Wednesdays 20/5, 3/6, 10/6 at 11am in L4

Wed, 20 May 2026
11:00
L4

A short course on Rough Stochastic Differential Equations (RSDEs) and Applications (Lecture 1/3)

Prof. Peter Friz
(TU Berlin)
Abstract
Recent advances at the interface of stochastic analysis, rough path theory, stochastic filtering, stochastic control, and mean-field systems have led to a rapidly developing framework for analyzing stochastic dynamics conditioned on common/observation noise. This mini course  will survey how rough stochastic differential equations, introduced in 2021 by A. Hocquet, K. Lê and the speaker, lead to a unifying perspective across several areas of applied probability. (Additional coauthors include F. Bugini, J. Dause, W. Stannat, H. Zhang and P.Zorin-Kranich).
 



 

Further Information

This mini course will develop in three lectures on the Wednesdays 20/5, 3/6, 10/6 at 11am in L4

We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Alain Goriely FRS at the Mathematical Institute, University of Oxford. This is a 2-year, fixed-term position, funded by a research grant from the Human Frontier Science Program. The starting date of this position is 1 September 2026, or as soon as possible thereafter.

Please join colleagues in the Department of Statistics for their annual Florence Nightingale Lecture which will be held today, Friday 22nd May at 3.30pm in the Large Lecture Theatre, Department of Statistics. Everyone is welcome.

Subscribe to