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Tyranowski on a project dedicated to advancing the field of stochastic geometric integration. The project focuses on the development and analysis of novel structure-preserving numerical algorithms
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, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model
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