From Monday, 27th March 2023, to Wednesday, 29th March 2023
at Imperial College London
DYNSTOCH 2023 - Workshop on 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 Imperial College London from Monday, the 27th March, to Wednesday, the 29 March 2023.
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.
Further information on the Dynstoch Network can be found here.
This workshop is co-funded by the Cecilia Tanner Research Funding Scheme of the Department of Mathematics at Imperial and the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (ERC, Grant Agreement No 856408).
Abstract submission deadline: Monday, 9th January 2023. Please submit your abstract to dynstoch23 AT gmail.com .
Registration deadline: Monday, 6th February 2023. Please register by sending an email to dynstoch23 AT gmail.com stating your full name and affiliation. (Please note that we might need to close registration earlier if we reach the capacity limit of the room.)
Carsten Chong (Columbia University)
Anne Leucht (University of Bamberg)
Orimar Sauri (Aalborg University)
Kirstin Strokorb (Cardiff University)
Michael Sorensen (University of Copenhagen)