Statistical methods for dynamical stochastic models
The DYNSTOCH meeting is an event organized by the DYNSTOCH network (Statistical methods for dynamical stochastic models) and will be hosted by Kiel University from Wednesday, 22 May to Friday, 24 May 2024.
It is preceded by a satellite spring school in Kiel from Monday, 20 May to Tuesday, 21 May.
The principal aim of the Dynstoch network is to make a major contribution to the theory of statistical inference for stochastic processes by taking advantage of the tools of modern probability theory including stochastic calculus and by using highly computer-intensive methods. The Dynstoch conference will bring together researchers who are working on various topics in inference for stochastic processes. The focus is on estimation, testing and prediction methods for complex dynamic models such as e.g. diffusions or branching processes. These problems are of interest for example in modelling and data analysis in finance, turbulence, biology, neuroscience, telecommunications, hydrology, oceanography or environmental sciences.
The registration and abstract submission are now open and available until 31 March 2024 (presentations) and 30 April 2024 (registration).
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