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Foundations of geometric statistics
1. Introduction to differential and Riemannian geometry
2. Statistics on manifolds
3. Manifold-valued image processing with SPD matrices
4. Riemannian geometry on shapes and diffeomorphisms
5. Beyond Riemannian geometry
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