A simple approximation method for the Fisher–Rao distance between multivariate normal distributions
F Nielsen - Entropy, 2023 - mdpi.com
We present a simple method to approximate the Fisher–Rao distance between multivariate
normal distributions based on discretizing curves joining normal distributions and …
normal distributions based on discretizing curves joining normal distributions and …
Riemannian optimization for non-centered mixture of scaled Gaussian distributions
This article studies the statistical model of the non-centered mixture of scaled Gaussian
distributions (NC-MSG). Using the Fisher-Rao information geometry associated with this …
distributions (NC-MSG). Using the Fisher-Rao information geometry associated with this …
The Fisher–Rao Geometry of CES Distributions
When dealing with a parametric statistical model, a Riemannian manifold can naturally
appear by endowing the parameter space with the Fisher information metric. The geometry …
appear by endowing the parameter space with the Fisher information metric. The geometry …
Géométrie riemannienne pour l'estimation et l'apprentissage statistiques: application à la télédétection
A Collas - 2022 - theses.hal.science
Remote sensing systems offer an increased opportunity to record multi-temporal and
multidimensional images of the earth's surface. This opportunity greatly increases the …
multidimensional images of the earth's surface. This opportunity greatly increases the …
[PDF][PDF] Riemannian geometry for statistical estimation and learning: application to remote sensing
A Collas - 2022 - antoinecollas.fr
Remote sensing systems offer an increased opportunity to record multi-temporal and
multidimensional images of the earth's surface. This opportunity greatly increases the …
multidimensional images of the earth's surface. This opportunity greatly increases the …
The Fisher-Rao Geometry of CES
When dealing with a parametric statistical model, a Riemannian manifold can naturally
appear by endowing the parameter space with the Fisher information metric. The geometry …
appear by endowing the parameter space with the Fisher information metric. The geometry …