National Institute for Research in Computer Science and Automatic Control (INRIA)
Ile-de-France (FR1) · France
ERC Advanced Grant · 2017
Foundations of Geometric Statistics and Their Application in the Life Sciences
Invariance under gauge transformation groups provides the natural structure explaining the laws of physics. In life sciences, new mathematical tools are needed to estimate approximate invariance and establish general but approximate laws. Rephrasing Poincaré: a geometry cannot be more true than another, it may just be more convenient, and statisticians must find the most convenient one for their data. At the crossing of geometry and statistics, G-Statistics aims at establishing the mathematical foundations of geometric statistics and to exemplify their impact on selected applications in the life sciences. So far, mainly Riemannian manifolds and negatively curved metric spaces have been…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.
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