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Asymptotics: particles, processes and inverse problems |
In
probability theory, stochastic processes have been studied extensively from a
theoretical point of view. Some of the most beautiful mathematical theorems
have been obtained in this field. Stochastic processes have also proved to be
important as models and as tools in many areas of application, including bio
statistics, biology, physics and finance. The
asymptotic study of non-parametric models in statistical inverse problems
involves complex and interesting stochastic processes. The resulting theory enables
researchers from application fields such as econometrics and biomedical
research to use models that work under less restrictive assumptions than
classical parametric models, assumptions that are often difficult to justify in
practice. New
stochastic processes also emerge in the study of interacting particle systems,
combinatorial theory, models in mathematical physics, and mathematical biology.
These are growing areas of research in probability theory, also in the The
interaction between the complex stochastic processes arising in non-parametric
statistics and those arising in other areas of probability theory has led to
fruitful and interesting connections which are starting to yield a rich
collection of methods and further open problems. This
workshop brings together international experts in different areas of statistics
and probability theory, whose work is in the area of stochastic processes. The
workshop aims to stimulate new research and to offer (young) Dutch researchers
in this field an opportunity to discuss ideas and be inspired by
internationally renowned researchers. We hope that this workshop will lead to
new collaborations, ideas, and results. During
the workshop several poster sessions will be programmed. We therefore invite
young researchers to bring a poster along. The
first poster session will be held Monday afternoon. [Back] |