The conference at University of Bonn, Germany, is the 5th in a series of international conferences on Stochastic Analysis and its Applications. The previous ones took place in Seattle (2006), Seoul (2008), Beijing (2009) and Osaka (2010).
The conference is supported by Hausdorff Center for Mathematics and it is co-sponsored by Global Center of Excellence at Kyoto University and by the Collaborative Research Center SFB 611 at Bonn University.
News
- Registration starts on Monday at 8.00h in the conference office at Wegelerstrasse 10.
- All lectures will take place in the former building of the mathematics department at Wegelerstrasse 10.
- Wireless internet access and a computer pool will be available at Wegelerstrasse 10.
- The reception starts on Monday 19.00h in the new building of the mathematics department at Endenicher Allee 60.
Program Updates
Monday
- 15.05 B2: E. Hausenblas: cancelled
- 15.10 b3: N. Englezos: cancelled
Wednesday
- 11.40 g6: G. Torbin cancelled
Thursday
- 9:00 P4: S. Peng: BSDE, nonlinear expectation and path PDE
- 14.40 M23: T. Lyons (moved from Friday)
- 16.50 m1: P. Yam (moved from Friday)
Friday
- 09.00 M20: B. Driver (moved from Thursday)
- 14.40 m3: P. Moreno (moved from 15.10)
Sessions and Scientific Board
- Dirichlet forms and stochastic analysis (Zhen-Qing Chen)
- Jump processes (René Schilling)
- Stochastic partial differential equations (Michael Röckner)
- Stochastic analysis and geometry (David Elworthy)
- Optimal transport and allocation problems (Karl-Theodor Sturm)
- Functional analysis (Michel Ledoux)
- Random media, percolation clusters and fractals (Takashi Kumagai)
- Stochastic models in physics and biology (Anton Bovier)
These areas are strongly related to each other and have been very active in recent years. They occupy a central place in modern probability theory and analysis. The primary goal of the conference is to bring researchers in areas listed above, from all over the world, to survey the fields, exchange ideas and to foster future collaborations. Another important goal is to expose young researchers and Ph.D students to the most recent developments in active areas of probability theory.