A divergence function defines a Riemannian metric g and dually coupled affine connections ∇ and ∇ ∗ with respect to it in a mani-fold M. When M is dually flat, that is flat with respect to ∇ and ∇∗, a canonical divergence is known, which is uniquely determined from (M, g,∇,∇∗). We propose a natural definition of a canonical di-vergence for a general, not necessarily flat, M by using the geodesic integration of the inverse exponential map. The new definition of a canonical divergence reduces to the known canonical divergence in the case of dual flatness. Finally, we show that the integrability of the inverse exponential map implies the geodesic projection property
Information geometry provides the mathematical sciences with a new framework of analysis. It has eme...
This study considers a new decomposition of an extended divergence on a foliation by deformed probab...
In this paper, we present a review of recent developments on the κ -deformed statistical m...
A divergence function defines a Riemannian metric g and dually coupled affine connections ∇ and ∇ ∗ ...
A divergence function on a manifold M defines a Riemannian metric g and dually coupled affine connec...
A divergence function on a manifold M defines a Riemannian metric g and dually coupled affine connec...
Information geometry concerns the study of a dual structure (g,∇,∇*) upon a smooth manifold M. Such ...
Measures of divergence between two points play a key role in many engineering problems. One such mea...
Divergence functions are the non-symmetric “distance” on the manifold, Μθ, of parametric probability...
Information geometry studies the dually flat structure of a manifold, highlighted by the generalized...
The divergence function in information geometry, and the discrete Lagrangian in discrete geometric m...
The divergence function in information geometry, and the discrete Lagrangian in discrete geometric m...
Information Geometry (Amari) gives us a framework to investigate probability theory and statistics ...
In this paper, we propose a generalization of Rényi divergence, and then we investigate its induced ...
In this paper, we propose a generalization of Rényi divergence, and then we investigate its induced ...
Information geometry provides the mathematical sciences with a new framework of analysis. It has eme...
This study considers a new decomposition of an extended divergence on a foliation by deformed probab...
In this paper, we present a review of recent developments on the κ -deformed statistical m...
A divergence function defines a Riemannian metric g and dually coupled affine connections ∇ and ∇ ∗ ...
A divergence function on a manifold M defines a Riemannian metric g and dually coupled affine connec...
A divergence function on a manifold M defines a Riemannian metric g and dually coupled affine connec...
Information geometry concerns the study of a dual structure (g,∇,∇*) upon a smooth manifold M. Such ...
Measures of divergence between two points play a key role in many engineering problems. One such mea...
Divergence functions are the non-symmetric “distance” on the manifold, Μθ, of parametric probability...
Information geometry studies the dually flat structure of a manifold, highlighted by the generalized...
The divergence function in information geometry, and the discrete Lagrangian in discrete geometric m...
The divergence function in information geometry, and the discrete Lagrangian in discrete geometric m...
Information Geometry (Amari) gives us a framework to investigate probability theory and statistics ...
In this paper, we propose a generalization of Rényi divergence, and then we investigate its induced ...
In this paper, we propose a generalization of Rényi divergence, and then we investigate its induced ...
Information geometry provides the mathematical sciences with a new framework of analysis. It has eme...
This study considers a new decomposition of an extended divergence on a foliation by deformed probab...
In this paper, we present a review of recent developments on the κ -deformed statistical m...