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Statistical manifold
Information Geometry (Part 1)
Statistical Manifold, Exponential Family, Autoparallel Submanifold
Exponential Families: Dually-Flat, Hessian and Legendre Structures
Machine Learning on Statistical Manifold Bo Zhang Harvey Mudd College
Exponential Statistical Manifold
Information Geometry and Its Applications: an Overview
An Elementary Introduction to Information Geometry
Low-Dimensional Statistical Manifold Embed- Dingofdirectedgraphs
Diffusion Kernels on Statistical Manifolds
An Information Geometric Perspective on Active Learning
Pseudo-Elliptic Geometry of a Class of Frobenius-Manifolds & Maurer
Symplectic Structures on Statistical Manifolds
An Elementary Introduction to Information Geometry
Information-Geometric Dimensionality Reduction
Computing Distances and Geodesics Between Manifold-Valued Curves in the SRV Framework Alice Le Brigant
F-Geometry and Amari's -Geometry on a Statistical Manifold
Diffussion Kernels on Statistical Manifold
Covariance and Fisher Information in Quantum Mechanics D´Enes Petz
Top View
Dimensionality Reduction and Clustering on Statistical Manifolds
GEOMETRY of INFORMATION: CLASSICAL and QUANTUM ASPECTS No´Emiec
Manifolds of Differentiable Densities
Learning on Statistical Manifolds for Clustering and Visualization
Diffusion Kernels on Statistical Manifolds
The Basics of Information Geometry
Nonparametric Information Geometry: from Divergence Function to Referential-Representational Biduality on Statistical Manifolds
The Geometry of Data: Distance on Data Manifolds Casey Chu Harvey Mudd College
Natural Gradient in Wasserstein Statistical Manifold
Entropic Dynamics on Gibbs Statistical Manifolds