CORDIS Project
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This research focuses on developing robust statistical methodologies for high-dimensional data analysis and uncertainty quantification. It aims to create a rigorous framework for statistical decision-making applicable across various scientific fields.
Some of the most important and exciting challenges of our ‘information age’ have led to the development of novel statistical methodology and algorithms that are designed to deal with inference settings involving high-dimensionality, graphical and network structures, inverse problems, ‘big data’, stochastic differential equations, diffusion processes, cosmic microwave background maps, brain tomography etc.
While an abundance of algorithms is now available, a scientifically rigorous theory of unce…
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