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A Deformed Exponential Statistical Manifold [PDF]

open access: yesEntropy, 2019
Consider μ a probability measure and P μ the set of μ -equivalent strictly positive probability densities. To endow P μ with a structure of a C ∞ -Banach manifold we use the φ ...
Francisca Leidmar Josué Vieira   +3 more
doaj   +5 more sources

Multisensor Estimation Fusion on Statistical Manifold [PDF]

open access: yesEntropy, 2022
In the paper, we characterize local estimates from multiple distributed sensors as posterior probability densities, which are assumed to belong to a common parametric family.
Xiangbing Chen, Jie Zhou
doaj   +4 more sources

Mixture and Exponential Arcs on Generalized Statistical Manifold [PDF]

open access: yesEntropy, 2018
In this paper, we investigate the mixture arc on generalized statistical manifolds. We ensure that the generalization of the mixture arc is well defined and we are able to provide a generalization of the open exponential arc and its properties.
Luiza H. F. de Andrade   +3 more
doaj   +4 more sources

On Almost Norden Statistical Manifolds

open access: yesEntropy, 2022
We consider a statistical connection ∇ on an almost complex manifold with (pseudo-) Riemannian metric, in particular the Norden metric. We investigate almost Norden (statistical) manifolds under the condition that the almost complex structure J is ...
Leila Samereh   +2 more
doaj   +3 more sources

Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning. [PDF]

open access: yesPLoS ONE, 2017
Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination.
Jiayi Wu   +7 more
doaj   +2 more sources

Geometry of Statistical Manifolds. [PDF]

open access: yesEntropy (Basel)
A statistical manifold M can be defined as a Riemannian manifold each of whose points is a probability distribution on the same support. In fact, statistical manifolds possess a richer geometric structure beyond the Fisher information metric defined on the tangent bundle TM.
Vos PW.
europepmc   +2 more sources

Immersions into Statistical Manifolds

open access: yesProceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2021
This paper studies the geometry of immersions into statistical manifolds. A necessary and sufficient condition is obtained for statistical manifold structures to be dual to each other for a non-degenerate equiaffine immersion. Then we obtain conditions for realizing an n-dimensional statistical manifold in an (n+1)-dimensional statistical manifold and ...
T. V. Mahaesh   +1 more
openaire   +3 more sources

Entropic Dynamics on Gibbs Statistical Manifolds [PDF]

open access: yesEntropy, 2021
Entropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mechanics and quantum field theory from probabilistic principles. Here, we develop the entropic dynamics of a system, the state of which is described by a probability distribution.
Pedro Pessoa   +2 more
openaire   +5 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

Some Results on Statistical Hypersurfaces of Sasakian Statistical Manifolds and Holomorphic Statistical Manifolds

open access: yesInternational Electronic Journal of Geometry, 2021
In this paper, we study the statistical immersion of codimension one from a Sasakian statistical manifold of constant φ− curvature to a holomorphic statistical manifold of constant holomorphic curvature and its converse. We prove that in both cases the constant φ− curvature equals to one and the constant holomorphic curvature must be zero. Moreover, we
Feng Wu, Yan Jıang, Liang Zhang
openaire   +4 more sources

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