Results 31 to 40 of about 225,797 (277)

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

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

Sasakian statistical manifolds

open access: yesJournal of Geometry and Physics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Furuhata, Hitoshi   +4 more
openaire   +2 more sources

Frobenius statistical manifolds & geometric invariants

open access: yes, 2021
8 ...
Combe, Noemie   +2 more
openaire   +2 more sources

Main Curvatures Identities on Lightlike Hypersurfaces of Statistical Manifolds and Their Characterizations

open access: yesMathematics, 2022
In this study, some identities involving the Riemannian curvature invariants are presented on lightlike hypersurfaces of a statistical manifold in the Lorentzian settings. Several inequalities characterizing lightlike hypersurfaces are obtained.
Oğuzhan Bahadır   +3 more
doaj   +1 more source

A Sequence of Escort Distributions and Generalizations of Expectations on q-Exponential Family

open access: yesEntropy, 2016
In the theory of complex systems, long tailed probability distributions are often discussed. For such a probability distribution, a deformed expectation with respect to an escort distribution is more useful than the standard expectation.
Hiroshi Matsuzoe
doaj   +1 more source

Latent Network Construction for Univariate Time Series Based on Variational Auto-Encode

open access: yesEntropy, 2021
Time series analysis has been an important branch of information processing, and the conversion of time series into complex networks provides a new means to understand and analyze time series.
Jiancheng Sun   +4 more
doaj   +1 more source

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

Incomplete equilibrium in long-range interacting systems

open access: yes, 2006
We use a Hamiltonian dynamics to discuss the statistical mechanics of long-lasting quasi-stationary states particularly relevant for long-range interacting systems.
A. Pluchino   +9 more
core   +1 more source

SYMPLECTIC STRUCTURES ON STATISTICAL MANIFOLDS [PDF]

open access: yesJournal of the Australian Mathematical Society, 2011
AbstractA relationship between symplectic geometry and information geometry is studied. The square of a dually flat space admits a natural symplectic structure that is the pullback of the canonical symplectic structure on the cotangent bundle of the dually flat space via the canonical divergence. With respect to the symplectic structure, there exists a
openaire   +1 more source

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