CORDIS Project
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This fellowship focuses on developing statistical methods for analyzing large oceanographic datasets. By addressing challenges in high-dimensional data, it aims to improve global climate modeling and responses to environmental disasters through interdisciplinary collaboration.
This fellowship is concerned with building new statistical modelling and estimation procedures that are appropriate for Big Data challenges with high-dimensional dependent data.
The new methods will be applied to large oceanographic spatiotemporal datasets leading to important application benefits in global climate modelling.
The methodological contribution centres on building physically-motivated stochastic processes that capture multivariate dependence structure from complex high-dimensional…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
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