F-divergences | Statistical distance

Divergence (statistics)

In information geometry, a divergence is a kind of statistical distance: a binary function which establishes the separation from one probability distribution to another on a statistical manifold. The simplest divergence is squared Euclidean distance (SED), and divergences can be viewed as generalizations of SED. The other most important divergence is relative entropy (Kullback–Leibler divergence, KL divergence), which is central to information theory. There are numerous other specific divergences and classes of divergences, notably f-divergences and Bregman divergences (see ). (Wikipedia).

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24: Divergence - Valuable Vector Calculus

In-depth explanation of divergence formula: https://youtu.be/W--29EqUSl0 Explanation of the definition of divergence of a vector field. What does divergence mean? How do we calculate divergence? We'll also talk about some geometric meaning to the formula for divergence. Full Valuable Vec

From playlist Valuable Vector Calculus

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Calculus 3: Divergence and Curl (4 of 32) What is the Divergence? Part 2

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is the divergence using a conceptual approach. Next video in the series can be seen at: https://youtu.be/8qsxlUIrdd0

From playlist CALCULUS 3 CH 8 DIVERGENCE AND CURL

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Divergence of a vector field: Vector Calculus

Free ebook http://tinyurl.com/EngMathYT I present a simple example where I compute the divergence of a given vector field. I give a rough interpretation of the physical meaning of divergence. Such an example is seen in 2nd year university mathematics courses.

From playlist Engineering Mathematics

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What is the divergence?

Free ebook http://tinyurl.com/EngMathYT A basic introduction to the divergence of a vector field - one of the basic operations of vector calculus. I discuss how to calculate the divergence and its physical connection with flux density. Plenty of examples are discussed.

From playlist Engineering Mathematics

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Calculus 3: Divergence and Curl (6 of 32) What is the Divergence? Part 4

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is the divergence using a non-linear example where F=(x^2)i. Next video in the series can be seen at: https://youtu.be/dyWeTKHFlg8

From playlist CALCULUS 3 CH 8 DIVERGENCE AND CURL

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26: Divergence Theorem - Valuable Vector Calculus

Video explaining the definition of divergence: https://youtu.be/UEU9dLgmBH4 Video on surface integrals: https://youtu.be/hVBoEEJlNuI The divergence theorem, also called Gauss's theorem, is a natural consequence of the definition of divergence. In this video, we'll see an intuitive explana

From playlist Valuable Vector Calculus

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Divergence of vector fields

Download the free PDF http://tinyurl.com/EngMathYT A basic lecture discussing the divergence of a vector field. I show how to calculate the divergence and present some geometric explanation of what the divergence represents. Several examples are discussed. Such ideas have important appl

From playlist Engineering Mathematics

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From playlist Journées Codage et Cryptographie 2014

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On the numerical integration of the Lorenz-96 model... - Grudzien - Workshop 2 - CEB T3 2019

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From playlist 2019 - T3 - The Mathematics of Climate and the Environment

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Bayesian inference and convex geometry: theory, methods, (...) - Pereyra - Workshop 2 - CEB T1 2019

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From playlist Statistical Rethinking Winter 2015

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From playlist Shannon 100

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Physics Ch 67.1 Advanced E&M: Review Vectors (21 of 55) What is the Divergence? (Conceptually)

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patr

From playlist PHYSICS 67.1 ADVANCED E&M VECTORS & FIELDS

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The Harmonic Series

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From playlist Infinite Series

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Singular Learning Theory - Seminar 2 - Fisher information, KL-divergence and singular models

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From playlist Metauni

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From playlist 100…(102!) Years of the Ising Model

Related pages

Logistic regression | Hellinger distance | Binary function | Harold Jeffreys | Jensen–Shannon divergence | Dimensional analysis | Annals of Mathematical Statistics | Pythagorean theorem | F-divergence | Information theory | Bregman divergence | Least squares | Differentiable manifold | Statistical manifold | Kullback–Leibler divergence | Principle of maximum entropy | Linear inverse problem | Fisher information metric | Information geometry | Linear regression | Conditional probability | Probability distribution | Bhattacharyya distance | Convex conjugate | Total variation distance of probability measures | Quadratic form | Squared Euclidean distance | Parametric family | Bhattacharyya angle | Triangle inequality | Statistical distance | Affine connection | Convex set