F-divergences | Statistical distance
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).
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
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
From playlist Divergence
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
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
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
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
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
Thomas Prest - Chiffrement basé sur l'identité à l'aide de réseaux NTRU
Chiffrement basé sur l'identité à l'aide de réseaux NTRU
From playlist Journées Codage et Cryptographie 2014
On the numerical integration of the Lorenz-96 model... - Grudzien - Workshop 2 - CEB T3 2019
Grudzien (U Nevada in Reno, USA) / 13.11.2019 On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Bayesian inference and convex geometry: theory, methods, (...) - Pereyra - Workshop 2 - CEB T1 2019
Marcelo Pereyra (Heriot-Watt Univ.) / 14.03.2019 Bayesian inference and convex geometry: theory, methods, and algorithms. This talk summarises some new developments in theory, methods, and algorithms for performing Bayesian inference in high-dimensional models that are log-concave, with
From playlist 2019 - T1 - The Mathematics of Imaging
Nexus Trimester - Matthieu Bloch (Georgia Tech)
Covert Communication over Noisy Channels : Towards Steatlth Networks Matthieu Bloch (Georgia Tech) March 25, 2016 Abstract: The benefits offered by ubiquitous communication networks are now mitigated by the relative ease with which malicious users can interfere or tamper with sensitive d
From playlist Nexus Trimester - 2016 - Secrecy and Privacy Theme
Hyperuniformity in 1D Abelian Sandpile Models by Rahul Dandekar
DISCUSSION MEETING STATISTICAL PHYSICS: RECENT ADVANCES AND FUTURE DIRECTIONS (ONLINE) ORGANIZERS: Sakuntala Chatterjee (SNBNCBS, Kolkata), Kavita Jain (JNCASR, Bangalore) and Tridib Sadhu (TIFR, Mumbai) DATE: 14 February 2022 to 15 February 2022 VENUE: Online In the past few dec
From playlist Statistical Physics: Recent advances and Future directions (ONLINE) 2022
Statistical Rethinking - Lecture 07
Lecture 07, Model Comparison (1), from Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Shannon 100 - 26/10/2016 - Elisabeth GASSIAT
Entropie, compression et statistique Elisabeth Gassiat (Université de Paris-Sud) Claude Shannon est l'inventeur de la théorie de l'information. Il a introduit la notion d'entropie comme mesure de l'information contenue dans un message vu comme provenant d'une source stochastique et démon
From playlist Shannon 100
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
Just a short video where we discuss the Harmonic Series sum(1/n, n = 1, ...). We talk about whether it converges or diverges and discuss the p-test. I hope this helps someone who is learning calculus and studying infinite series. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording G
From playlist Infinite Series
Singular Learning Theory - Seminar 2 - Fisher information, KL-divergence and singular models
This seminar series is an introduction to Watanabe's Singular Learning Theory, a theory about algebraic geometry and statistical learning theory. In this second seminar Edmund Lau sets up regular and singular models, and hints at the effect of geometry near singularities on learning. The
From playlist Metauni
From playlist Divergence
Jean Zinn-Justin - The Ising model, the saga of the critical exponents
The Ising model, being one of the simplest statistical system, the properties of its phase transition have being studied very early. Of particular interest are its critical exponents. The fist guess was obtained from the mean-field approximation. However, starting with Onsager, the exact
From playlist 100…(102!) Years of the Ising Model