Results 21 to 30 of about 4,356 (253)

Laplacian operator on statistical manifold

open access: yesInformation Geometry, 2022
In this paper, we define a Laplacian operator on a statistical manifold, called the vector Laplacian. This vector Laplacian incorporates information from the Amari-Chentsov tensor. We derive a formula for the vector Laplacian. We also give two applications using the heat kernel associated with the vector Laplacian.
Ruichao Jiang   +2 more
openaire   +3 more sources

Affine Differential Geometric Control Tools for Statistical Manifolds

open access: yesMathematics, 2021
The paper generalizes and extends the notions of dual connections and of statistical manifold, with and without torsion. Links with the deformation algebras and with the Riemannian Rinehart algebras are established.
Iulia-Elena Hirica   +3 more
doaj   +1 more source

Biconnection gravity as a statistical manifold

open access: yesPhysical Review D, 2023
16 pages, no ...
Damianos Iosifidis   +1 more
openaire   +2 more sources

On Statistical and Semi-Weyl Manifolds Admitting Torsion

open access: yesMathematics, 2022
We introduce the concept of quasi-semi-Weyl structure, we provide a couple of ways for constructing quasi-statistical and quasi-semi-Weyl structures by means of a pseudo-Riemannian metric, an affine connection and a tensor field on a smooth manifold, and
Adara M. Blaga, Antonella Nannicini
doaj   +1 more source

Generalized Wintgen Inequality for Statistical Submanifolds in Hessian Manifolds of Constant Hessian Curvature

open access: yesMathematics, 2022
The geometry of Hessian manifolds is a fruitful branch of physics, statistics, Kaehlerian and affine differential geometry. The study of inequalities for statistical submanifolds in Hessian manifolds of constant Hessian curvature was truly initiated in ...
Aliya Naaz Siddiqui   +2 more
doaj   +1 more source

Manifold Statistics for Essential Matrices [PDF]

open access: yes, 2012
Riemannian geometry allows for the generalization of statistics designed for Euclidean vector spaces to Riemannian manifolds. It has recently gained popularity within computer vision as many relevant parameter spaces have such a Riemannian manifold structure. Approaches which exploit this have been shown to exhibit improved efficiency and accuracy. The
Dubbelman, G., Dorst, L., Pijls, H.
openaire   +3 more sources

On Nearly Sasakian and Nearly Kähler Statistical Manifolds

open access: yesMathematics, 2023
In this paper, we introduce the notions of nearly Sasakian and nearly Kähler statistical structures with a non-trivial example. The conditions for a real hypersurface in a nearly Kähler statistical manifold to admit a nearly Sasakian statistical ...
Siraj Uddin   +3 more
doaj   +1 more source

Almost cosympletic statistical manifolds

open access: yesQuaestiones Mathematicae, 2019
15 pages and comments are welcome!
MURATHAN, CENGİZHAN   +2 more
openaire   +7 more sources

Extremities for statistical submanifolds in Кenmotsu statistical manifolds

open access: yesFilomat, 2021
Kenmotsu geometry is a valuable part of contact geometry with nice applications in other fields such as theoretical physics. In this article, we study the statistical counterpart of a Kenmotsu manifold, that is, Kenmotsu statistical manifold with some related examples.
Siddiqui, Aliya Naaz   +2 more
openaire   +3 more sources

Statistical Manifolds with almost Quaternionic Structures and Quaternionic Kähler-like Statistical Submersions

open access: yesEntropy, 2015
In this paper we investigate statistical manifolds with almost quaternionic structures. We define the concept of quaternionic Kähler-like statistical manifold and derive the main properties of quaternionic Kähler-like statistical submersions, extending ...
Alina-Daniela Vîlcu   +1 more
doaj   +1 more source

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