MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・インダストリ教育研究拠点」A complete description of the geodesic curves on the Riemann manifold of multivariate normal distributions equipped with the Fisher information metric has been accomplished by Eriksen in 1987, and later by Calvo and Oller in 1991 but in a different manner. The former describes geodesic curves in terms of an exponential map in somewhat mysterious way and the latter obtains a solution of the differential equation of a geodesic curve explicitly by solving much general system of differential equations. The method what Erikson had taken seems to have a group theoretic nature while it is still unclear. The purposes of this short note ar...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
In this paper we study the geometry of the differentiable manifold associated with two samples of sy...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
Orientador: João Eloir StrapassonTese (doutorado) - Universidade Estadual de Campinas, Instituto de...
The construction of a distance function between probability distributions is of importance in mathem...
The Information Geometry of extended exponential families has received much recent attention in a va...
The Information Geometry of extended exponential families has received much recent attention in a va...
AbstractThe construction of a distance function between probability distributions is of importance i...
Abstract. The importance of manifolds and Riemannian geometry is spreading to applied fields in whic...
We consider the problem of finding the closest multivariate Gaussian distribution on a constraint su...
International audienceThis chapter introduces the basic concepts of differential geometry: Manifolds...
Statistical models for manifold-valued data per-mit capturing the intrinsic nature of the curved spa...
A Geometria da Informação é uma área da matemática que utiliza ferramentas geométricas no estudo de ...
AbstractThe construction of a distance function between probability distributions is of importance i...
International audienceThis paper is concerned with the study of a circular random distribution calle...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
In this paper we study the geometry of the differentiable manifold associated with two samples of sy...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
Orientador: João Eloir StrapassonTese (doutorado) - Universidade Estadual de Campinas, Instituto de...
The construction of a distance function between probability distributions is of importance in mathem...
The Information Geometry of extended exponential families has received much recent attention in a va...
The Information Geometry of extended exponential families has received much recent attention in a va...
AbstractThe construction of a distance function between probability distributions is of importance i...
Abstract. The importance of manifolds and Riemannian geometry is spreading to applied fields in whic...
We consider the problem of finding the closest multivariate Gaussian distribution on a constraint su...
International audienceThis chapter introduces the basic concepts of differential geometry: Manifolds...
Statistical models for manifold-valued data per-mit capturing the intrinsic nature of the curved spa...
A Geometria da Informação é uma área da matemática que utiliza ferramentas geométricas no estudo de ...
AbstractThe construction of a distance function between probability distributions is of importance i...
International audienceThis paper is concerned with the study of a circular random distribution calle...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
In this paper we study the geometry of the differentiable manifold associated with two samples of sy...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...