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Diffusion on Statistical Manifolds
2006 International Conference on Image Processing, 2006This paper presents a new diffusion scheme on statistical manifolds for the detection of texture boundaries. The technique derives from our previous work, in which 2-dimensional Riemannian manifolds were statistically defined by maps that transform a parameter domain onto a set of probability density functions.
Sang-Mook Lee +3 more
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Exponential statistical manifold
Annals of the Institute of Statistical Mathematics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CENA A, PISTONE, Giovanni
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Musical Isomorphisms and Statistical Manifolds
Mediterranean Journal of Mathematics, 2022On a pseudo-Riemannian manifold \((M, g)\), an affine connection \(\nabla\) is called a Codazzi connection if \(\nabla g\) is totally symmetric. The triple \((M,g,\nabla)\) is called a statistical manifold if \(\nabla\) is torsion free and Codazzi. This is the setting of information geometry.
Esmaeil Peyghan +2 more
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Diffusion Kernels on Statistical Manifolds
J. Mach. Learn. Res., 2005A family of kernels for statistical learning is introduced that exploits the geometric structure of statistical models. The kernels are based on the heat equation on the Riemannian manifold defined by the Fisher information metric associated with a statistical family, and generalize the Gaussian kernel of Euclidean space.
John D. Lafferty, Guy Lebanon
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Information geometry and statistical manifold
Chaos, Solitons & Fractals, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdel-All, Nassar H. +2 more
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Chen Inequalities for Statistical Submanifolds of Kähler-Like Statistical Manifolds [PDF]
We consider Kähler-like statistical manifolds, whose curvature tensor field satisfies a natural condition. For their statistical submanifolds, we prove a Chen first inequality and a Chen inequality for the invariant δ ( 2 , 2 )
Mayuko Kon, Cihan Özgur, Adela Mihai
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Statistical manifolds are statistical models
Journal of Geometry, 2006In this note we prove that any smooth (C1 resp.) statistical manifold can be embedded into the space of probability measures on a finite set. As a result, we get positive answers to Lauritzen´s question and Amari´s question on a realization of smooth (C1 resp.) statistical manifolds as finite dimensional statistical models.
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Sasakian Statistical Manifolds II
2017This article is a digest of [2, 3] with additional remarks on invariant submanifolds of Sasakian statistical manifolds.
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