Results 51 to 60 of about 944,515 (124)

Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models [PDF]

open access: yes
The Fisher-Rao distance between two probability distributions of a statistical model is defined as the Riemannian geodesic distance induced by the Fisher information metric.
Nielsen, Frank
core  

On bounds for the fisher-rao distance between multivariate normal distributions

open access: yes, 2015
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOInformation geometry is approached here by considering the statistical model of multivariate normal distributions as a ...
João E. Strapasson   +5 more
core   +1 more source

Any K\"ahler metric is a Fisher information metric

open access: yes
The Fisher information metric or the Fisher-Rao metric corresponds to a natural Riemannian metric defined on a parameterized family of probability density functions.
Gnandi, Emmanuel
core  

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

open access: yes
Data sets of multivariate normal distributions abound in many scientific areas like diffusion tensor imaging, structure tensor computer vision, radar signal processing, machine learning, just to name a few.
Nielsen, Frank
core   +1 more source

A New Closed-Form Information Metric for Shape Analysis

open access: yes, 2006
International audienceRecently, a unifying framework was introduced for shape matching that uses mixture-models and the Fisher-Rao metric to couple both the shape representation and deformation.
Rangarajan, Anand, Peter, Adrian
core  

Copy of John Fisher's diary, made by him, 1776-1777

open access: yes
Typescript copy of diary entries made by John Fisher (1755-1843), the great-grandfather of George Brayton Fisher, for a period covering 14 July 1776 to 10 August 1777.
Fisher, John, 1755-1843;
core  

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