Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact manifold is discussed and is applied to geometry of a barycenter map associated with Busemann function on an Hadamard manifold (X). We obtain an explicit formula of geodesic and then several theorems on geodesics, one of which asserts that any two probability measures can be joined by a unique geodesic. Using Fisher metric and thus obtained properties of geodesics, a fibre space structure of barycenter map and geodesical properties of each fibre are discussed. Moreover, an isometry problem on an Hadamard manifold (X) and its ideal boundary (partial X)—for a given homeomorphism (Phi) of (partial X) find an isometry of (X) whose (partial X)-extensi...
Measures of divergence between two points play a key role in many engineering problems. One such mea...
Information geometry provides the mathematical sciences with a new framework of analysis. It has eme...
AbstractWe construct an infinite-dimensional Hilbert manifold of probability measures on an abstract...
Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact mani...
AbstractLet (X,g) be an Hadamard manifold with ideal boundary ∂X. We can then define the map φ:X→P(∂...
A complete Riemannian manifold X with negative curvature sat-isfying −b2 ≤ KX ≤ −a2 < 0 for some ...
Borel probability measures living on metric spaces are fundamental mathematical objects. There are s...
AbstractA complete Riemannian manifold X with negative curvature satisfying −b2⩽KX⩽−a2<0 for some co...
summary:Burbea and Rao (1982a, 1982b) gave some general methods for constructing quadratic different...
AbstractWe refine recent existence and uniqueness results, for the barycenter of points at infinity ...
In this paper, we study the characterization of geodesics for a class of distances between probabili...
This paper is a strongly geometrical approach to the Fisher distance, which is a measure of dissimil...
The Fisher information matrix induces a metric on parametric spaces of families of probability densi...
Consider a closed subset of a complete Riemannian manifold, such that all geodesics with end-points ...
We construct an infinite-dimensional Hilbert manifold of probability measures on an abstract measura...
Measures of divergence between two points play a key role in many engineering problems. One such mea...
Information geometry provides the mathematical sciences with a new framework of analysis. It has eme...
AbstractWe construct an infinite-dimensional Hilbert manifold of probability measures on an abstract...
Geometry of Fisher metric and geodesics on a space of probability measures defined on a compact mani...
AbstractLet (X,g) be an Hadamard manifold with ideal boundary ∂X. We can then define the map φ:X→P(∂...
A complete Riemannian manifold X with negative curvature sat-isfying −b2 ≤ KX ≤ −a2 < 0 for some ...
Borel probability measures living on metric spaces are fundamental mathematical objects. There are s...
AbstractA complete Riemannian manifold X with negative curvature satisfying −b2⩽KX⩽−a2<0 for some co...
summary:Burbea and Rao (1982a, 1982b) gave some general methods for constructing quadratic different...
AbstractWe refine recent existence and uniqueness results, for the barycenter of points at infinity ...
In this paper, we study the characterization of geodesics for a class of distances between probabili...
This paper is a strongly geometrical approach to the Fisher distance, which is a measure of dissimil...
The Fisher information matrix induces a metric on parametric spaces of families of probability densi...
Consider a closed subset of a complete Riemannian manifold, such that all geodesics with end-points ...
We construct an infinite-dimensional Hilbert manifold of probability measures on an abstract measura...
Measures of divergence between two points play a key role in many engineering problems. One such mea...
Information geometry provides the mathematical sciences with a new framework of analysis. It has eme...
AbstractWe construct an infinite-dimensional Hilbert manifold of probability measures on an abstract...