Fisher-Rao distance on the covariance cone

10/29/2020
by   Joseph Wells, et al.
0

The Fisher-Rao geodesic distance on the statistical manifold consisting of zero-mean p-dimensional multivariate Gaussians appears without proof in several places (such as Steven Smith's "Covariance, Subspace, and Intrinsic Cramer-Rao Bounds"). In this paper, we give a proof using basic Riemannian geometry.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/02/2023

The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry

Choosing the Fisher information as the metric tensor for a Riemannian ma...
research
01/21/2020

Bures-Wasserstein Geometry

The Bures-Wasserstein distance is a Riemannian distance on the space of ...
research
04/09/2018

Connecting Dots -- from Local Covariance to Empirical Intrinsic Geometry and Locally Linear Embedding

Local covariance structure under the manifold setup has been widely appl...
research
05/29/2018

Regularization of covariance matrices on Riemannian manifolds using linear systems

We propose an approach to use the state covariance of linear systems to ...
research
06/21/2022

A Basic Treatment of the Distance Covariance

The distance covariance of Székely, et al. [23] and Székely and Rizzo [2...
research
07/20/2023

Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions

Data sets of multivariate normal distributions abound in many scientific...
research
11/29/2017

Intrinsic Analysis of the Sample Fréchet Mean and Sample Mean of Complex Wishart Matrices

We consider two types of averaging of complex covariance matrices, a sam...

Please sign up or login with your details

Forgot password? Click here to reset