1 Table of Contents: “...PART 3: Advanced Geometrical Models of Statistical Manifolds in Information Geometry: J.-P...”

2 Subjects: “...Mathematical statistics / Data processing...”

3 Subjects: “...Statistics ...”

4 Table of Contents: “...Rho-Tau Embedding of Statistical Models -- A class of non-parametric deformed exponential...”

5 Table of Contents: “...Geometric statistics on manifolds and Lie groups -- Deformations in shape spaces -- Differential...”

6 Table of Contents: “...Statistics on non-linear data -- Shape space -- Optimal Transport & Applications -- Statistical...”

7 Table of Contents: “... and applications in imagery/statistics -- Shape space and diffeomorphic mappings -- Random geometry/homology...”

8 Table of Contents: “...Geometry and machine learning -- Divergences and computational information geometry -- Statistics...”

9 Table of Contents: “...Geometry and machine learning -- Divergences and computational information geometry -- Statistics...”

10 Table of Contents: “...: Statistics on non-linear data -- A unified formulation for the Bures-Wassersteinand Log-Euclidean/Log-Hilbert...”

11 Table of Contents: “...Probability and Statistics on Riemannian Manifolds -- From Bayesian inference to MCMC and convex...”

12 “... and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech...”

13 Table of Contents: “... Theoretic Methods for Diffusion-Weighted MRI Analysis -- Statistical Computing on Manifolds: From Riemannian...”