In statistical mechanics, the correlation function is a measure of the order in a system, as characterized by a mathematical correlation function. Correlation functions describe how microscopic variables, such as spin and density, at different positions are related. More specifically, correlation functions quantify how microscopic variables co-vary with one another on average across space and time. A classic example of such spatial correlations is in ferro- and antiferromagnetic materials, where the spins prefer to align parallel and antiparallel with their nearest neighbors, respectively. The spatial correlation between spins in such materials is shown in the figure to the right. (Wikipedia).
Ken McLaughlin: Correlation functions for some integrable systems with random initial... - Lecture 2
Title: Correlation functions for some integrable systems with random initial data, theory and computation - Lecture 2 Abstract: We will investigate the form of spatio-temporal correlation functions for integrable models of systems of particles on the line. There are few analytical results
From playlist Probability and Statistics
Tamara Grava: Correlation functions for some integrable systems with random initial... - Lecture 1
Title: Correlation functions for some integrable systems with random initial data, theory and computation - Lecture 1 Abstract: We will investigate the form of spatio-temporal correlation functions for integrable models of systems of particles on the line. There are few analytical results
From playlist Probability and Statistics
RELATIONSHIPS Between Variables: Standardized Covariance (7-1)
Correlation is a way of measuring the extent to which two variables are related. The term correlation is synonymous with “relationship.” Variables are related when changes in one variable are consistently associated with changes in another variable. Dr. Daniel reviews Variance, Covariance,
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
Covariance Definition and Example
What is covariance? How do I find it? Step by step example of a solved covariance problem for a sample, along with an explanation of what the results mean and how it compares to correlation. 00:00 Overview 03:01 Positive, Negative, Zero Correlation 03:19 Covariance for a Sample Example
From playlist Correlation
Limits of correlation (applied)
Correlation is a standardized covariance (i.e., translated into unit-less form with volatilities). It cannot be used alone: (i) it can be "distorted" by low volatilities, and (ii) it does not give information revealed by the scatter (in this example, both hedge fund series are similarly co
From playlist Statistics: Introduction
Signal correlation functions for parameter estimation - A. Tilloy - Workshop 1 - CEB T2 2018
Antoine Tilloy (Max Plank Institut für Quantenoptik, Garching) / 17.05.2018 Signal correlation functions for parameter estimation When continuously measuring a quantum system, one is typically interested in reconstructing the quantum state in real time as a function of the measured signa
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
This video explains how to find the correlation coefficient which describes the strength of the linear relationship between two variables x and y. My Website: https://www.video-tutor.net Patreon: https://www.patreon.com/MathScienceTutor Amazon Store: https://www.amazon.com/shop/theorga
From playlist Statistics
Covariance is a measure of relationship (or co-movement) between two variables. Correlation is just the translation of covariance into a UNITLESS measure that we can understand (-1.0 to 1.0). For more financial risk videos, visit our website! http://www.bionicturtle.com
From playlist Statistics: Introduction
Sumit Das - Introduction to statistical field theory (1)
PROGRAM: BANGALORE SCHOOL ON STATISTICAL PHYSICS - V DATES: Monday 31 Mar, 2014 - Saturday 12 Apr, 2014 VENUE: Raman Research Institute, Bangalore PROGRAM LINK: http://www.icts.res.in/program/BSSP2014 This advanced level school was started in 2010 at the Raman Research Institute, Banga
From playlist Bangalore School on Statistical Physics - V
Breaking the curse of dimension in quantum mechanical computations through analysis and probability
Codina Cotar (Department of Statistical Science, UK) Codina Cotar is a Reader in Probability in the Department of Statistical Science, UCL. She completed her PhD in Probability in 2004 in the Statistics Group, the Department of Mathematics, University of Bristol. Between 2004-2011 she he
From playlist Women in data science conference
EFFECT Size for Correlation: Coefficient of Determination (7-3)
The Correlation Coefficient is also an Effect Size. An r value can be squared to calculate an effect size. The r-squared is the Coefficient of Determination, expressing the proportion of variance in the dependent variable (Y) explained by variance in the independent variable (X). The rever
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
The measurement problem and some mild solutions by Dustin Lazarovici (Lecture - 04)
21 November 2016 to 10 December 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Quantum Theory has passed all experimental tests, with impressive accuracy. It applies to light and matter from the smallest scales so far explored, up to the mesoscopic scale. It is also a necessary ingredie
From playlist Fundamental Problems of Quantum Physics
Molecular Noise, Non-stationarity and Memory in Single-enzyme Kinetics by Arti Dua
PROGRAM STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL ORGANIZERS: Debashish Chowdhury (IIT-Kanpur, India), Ambarish Kunwar (IIT-Bombay, India) and Prabal K Maiti (IISc, India) DATE: 11 October 2022 to 22 October 2022 VENUE: Ramanujan Lecture Hall 'Fluctuation-and-noise' a
From playlist STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (2022)
Freezing and extreme values: from RMT to number theory - Jon Keating
Jon Keating University of Bristol November 8, 2013 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Random Matrix Theory And its Applications by Satya Majumdar ( Lecture - 1 )
PROGRAM BANGALORE SCHOOL ON STATISTICAL PHYSICS - X ORGANIZERS : Abhishek Dhar and Sanjib Sabhapandit DATE : 17 June 2019 to 28 June 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This advanced level school is the tenth in the series. This is a pedagogical school, aimed at bridgin
From playlist Bangalore School on Statistical Physics - X (2019)
It is often said that Bell's theorem demonstrates the impossibility of "local realism" as a basis for explaining quantum mechanics. In this talk, we attempt to separate the hype from the actual mathematics. A simple operational (i.e. statistical) modeling framework is introduced that inclu
From playlist Wolfram Technology Conference 2022
The Role of Symmetry in Phase Transitions - Tom Spencer
Tom Spencer Professor, School of Mathematics, Institute for Advanced Study January 23, 2012 This talk will review some theorems and conjectures about phase transitions of interacting spin systems in statistical mechanics. A phase transition may be thought of as a change in a typical spin c
From playlist Mathematics
The Statistical Physics of Flocks and Swarms by Irene Giardina
DISCUSSION MEETING : CELEBRATING THE SCIENCE OF GIORGIO PARISI (ONLINE) ORGANIZERS : Chandan Dasgupta (ICTS-TIFR, India), Abhishek Dhar (ICTS-TIFR, India), Smarajit Karmakar (TIFR-Hyderabad, India) and Samriddhi Sankar Ray (ICTS-TIFR, India) DATE : 15 December 2021 to 17 December 2021 VE
From playlist Celebrating the Science of Giorgio Parisi (ONLINE)
Rigorous Data Dredging...Data Analysis - Aaron Roth
Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu
From playlist Differential Privacy Symposium - November 12, 2016
Estimate the Correlation Coefficient Given a Scatter Plot
This video explains how to estimate the correlation coefficient given a scatter plot.
From playlist Performing Linear Regression and Correlation