(PP 6.3) Gaussian coordinates does not imply (multivariate) Gaussian
An example illustrating the fact that a vector of Gaussian random variables is not necessarily (multivariate) Gaussian.
From playlist Probability Theory
VARIABLES in Statistical Research (2-1)
A variable is any characteristic that can vary. An organized collection of numbers can be a variable. Qualitative variables indicate an attribute or belongingness to a category. Dichotomous variables are discrete variables that can have two and only two values. Quantitative variables indic
From playlist Forming Variables for Statistics & Statistical Software (WK 2 - QBA 237)
11_5_1 Directional Derivative of a Multivariable Function Part 1
Understanding that a partial derivative refers to a rate of change in the direction of a certain axis, we now look at the rate of change in any direction. The direction is indicated by a unit vector, in other words it has a dimension of one and is therefore only its direction is important
From playlist Advanced Calculus / Multivariable Calculus
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
Multivariable Calculus | The gradient and directional derivatives.
We define the gradient of a function and show how it is helpful in finding the directional derivative. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Multivariable Calculus
C34 Expanding this method to higher order linear differential equations
I this video I expand the method of the variation of parameters to higher-order (higher than two), linear ODE's.
From playlist Differential Equations
A "local linearization" is the generalization of tangent plane functions; one that can apply to multivariable functions with any number of inputs.
From playlist Multivariable calculus
Discrete-Time Dynamical Systems
This video shows how discrete-time dynamical systems may be induced from continuous-time systems. https://www.eigensteve.com/
From playlist Data-Driven Dynamical Systems
C28 Variation of parameters Part 1
We have already seen variation of parameters in action, but here we expand the method for use in second-order linear DE's, even with non-constant coefficients.
From playlist Differential Equations
Henri Epstein - Archeological Remarks on Analyticity Properties in Momentum Space in QFT
I will describe the foundations of the program of studying the analyticity properties of the n-point functions in momentum space : the primitive domain of analyticity and methods to enlarge it. If time permits, some of the results for the 4-point function will be described. Henri Epstein
From playlist Les séminaires de l'IHES
Nexus Trimester - Mokshay Madiman (University of Delaware)
The Stam region, or the differential entropy region for sums of independent random vectors Mokshay Madiman (University of Delaware) February 25, 2016 Abstract: Define the Stam region as the subset of the positive orthant in [Math Processing Error] that arises from considering entropy powe
From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme
CDIS 4017 - Speech Perception (Done)
Chaya Guntupalli (Nanjundeswaran) Ph.D. CDIS 4017 - Speech and Hearing Science I ETSU Online Programs - http://www.etsu.edu/online
From playlist ETSU: CDIS 4017 - Speech and Hearing Science I | CosmoLearning Audiology
Scattering Amplitudes in Maximally Supersymmetric Gauge Theory and a New Duality
Topic: Scattering Amplitudes in Maximally Supersymmetric Gauge Theory and a New Duality Speaker: Lance Dixon Affiliation: Stanford University Date: May 2, 2022 Lance Dixon 2022-05-02
From playlist IAS High Energy Theory Seminar
Non-Hermiticity: A New Paradigm for Model Building in Particle Physics by Peter Millington
PROGRAM NON-HERMITIAN PHYSICS (ONLINE) ORGANIZERS: Manas Kulkarni (ICTS, India) and Bhabani Prasad Mandal (Banaras Hindu University, India) DATE: 22 March 2021 to 26 March 2021 VENUE: Online Non-Hermitian Systems / Open Quantum Systems are not only of fundamental interest in physics a
From playlist Non-Hermitian Physics (ONLINE)
October 24, 2019, Kisun Lee Georgia Tech @ NYU
Original video of the talk is available here: https://youtu.be/rQa8jCOj2qA Title: Certifying solutions to a square analytic system Abstract: In this talk, we discuss about methods for proving existence and uniqueness of a root of a square analytic system in a given region. For a regular
From playlist Fall 2019 Symbolic-Numeric Computing Seminar
October 24, 2019, Kisun Lee, Georgia Tech @ NYU
Slides are available at https://youtu.be/chp1O8qOdQ0 Title: Certifying solutions to a square analytic system Abstract: In this talk, we discuss about methods for proving existence and uniqueness of a root of a square analytic system in a given region. For a regular root, Krawczyk method
From playlist Fall 2019 Symbolic-Numeric Computing Seminar
Nexus Trimester - John Walsh (Drexel University)
Rate Regions for Network Coding: Computation, Symmetry, and Hierarchy John Walsh (Drexel University) February 17, 2016 Abstract: This talk identifies a number of methods and algorithms we have created for determining fundamental rate regions and efficient codes for network coding proble
From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme
Top and Bottom Squark Searches at the LHC by Soham Bhattacharya
DISCUSSION MEETING HUNTING SUSY @ HL-LHC (ONLINE) ORGANIZERS Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kumar S
From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021
z-Transform Analysis of LTI Systems
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Introduction to analysis of systems described by linear constant coefficient difference equations using the z-transform. Definition of the system fu
From playlist The z-Transform