Inference for SPDEs and related topics

Prague-Berlin workshop
26 - 27 September 2024, Prague

About the Workshop

About the Workshop

The workshop aims to bring together researchers that work in the field od stochastic partial differential equations (SPDEs) and related areas. The main focus will be on statistical inference but related topics such as stochastic processes or rough paths are also welcome.


Charles University
Faculty of Mathematics and Physics
Sokolovská 83, Prague
room K1 (3rd floor)


Thursday and Friday
26 - 27 September 2024


  • Randolf Altmeyer (University of Cambridge)
  • Igor Cialenco (Illinois Institute of Technology)
  • Petr Čoupek (Charles University)
  • Sascha Gaudlitz (Humboldt University Berlin)
  • František Hendrych (Charles University)
  • Josef Janák (University of Pavia)
  • Pavel Kříž (Charles University)
  • Oana Lang (Imperial College London)
  • Martin Ondreját (Czech Academy of Sciences)
  • Gregor Pasemann (Humboldt University Berlin)
  • Jakub Slavík (Czech Academy of Sciences)
  • Wilhelm Stannat (Technical University Berlin)
  • Mathias Trabs (Karlsruhe Institute of Technology)
  • Ciprian Tudor (University of Lille)
  • Eric Ziebell (Humboldt University Berlin)


On Thursday 26 Sep, the workshop will start at 08:30 and the last talk will end at 16:45.
On Friday 27 Sep, we will start at 09:00 and the last talk will finish at 12:30.


Charles University

Faculty of Mathematics and Physics
Sokolovská 83, 3rd floor, room K1

You can get here either by a tram (tram stop "Křižíkova") or by the underground (station "Křižíkova").


The workshop is open to anyone interested and free to attend; however, we ask any who wish to join us to register via the form linked below.
As there is only limited space, we cannot guarantee participation but we will definitely be in touch.
Registration is open until 31 July 2024.

Register here


The workshop is a joint venture of the Charles University and Humboldt University in Berlin.
It is supported by the GAČR project 22-12790S and the DFG project SFB 1294 Data Assimilation.