Date | 2014-08-06 |
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Homepage | http://web.math.snu.ac.kr:8081/ICSAA/ |
The online registration will be closed on June 20.
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The online registration for general participants has started. (You may need to install Java.)
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7th International Conference on Stochastic Analysis and its Applications (7ICSAA) will be held in Seoul national university, Seoul, on August 6-11, 2014. 7ICSAA is one of the official Satellite conferences of ICM 2014 which will be held on August 13-21, 2014 in COEX Convention center, Seoul.
http://www.icm2014.org/en/program/satellite/satellites
The purpose of this series of conference is to bring to the participants an opportunity to communicate their recent research in Stochastic analysis and its applications, Markov processes, including jump type processes and measure-valued processes, Dirichlet forms and Analysis on fractals and percolation clusters, among others. The main topics of the conference will be (but not limited to) Stochastic analysis and its applications, Markov processes, Dirichlet forms, Analysis on fractals and percolation clusters, and Random walk in random media and on random graphs. 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.
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.
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