In statistics, scaled correlation is a form of a coefficient of correlation applicable to data that have a temporal component such as time series. It is the average short-term correlation. If the signals have multiple components (slow and fast), scaled coefficient of correlation can be computed only for the fast components of the signals, ignoring the contributions of the slow components. This filtering-like operation has the advantages of not having to make assumptions about the sinusoidal nature of the signals. For example, in the studies of brain signals researchers are often interested in the high-frequency components (beta and gamma range; 25–80 Hz), and may not be interested in lower frequency ranges (alpha, theta, etc.). In that case scaled correlation can be computed only for frequencies higher than 25 Hz by choosing the scale of the analysis, s, to correspond to the period of that frequency (e.g., s = 40 ms for 25 Hz oscillation). (Wikipedia).
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)
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
EstimatingRegressionCoefficients.3.CorrelationToEstimateSlope
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Estimating Regression Coefficients
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
Conceptual Questions about Correlation
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Correlation
From playlist Statistics
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
Correlation does not Imply Causality, but then again… (7-4)
Correlation Does Not Imply Causation. When we see a correlation, we should not assume a cause-and-effect relationship between the variables. Correlation does not mean one isn’t causing the other, either; we just need more information. The correlation between two variables may be caused by
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
Pearson's Correlation Coefficient (1 of 3: Unpacking the formula)
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From playlist Descriptive Statistics & Bivariate Data Analysis
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
R - Multitrait Multimethod (MTMM) Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers how to perform a multitrait multimethod using the Widaman steps or correlated uniqueness approaches. Issues with identification, steps for analysis, and interpretation of each step are included. Le
From playlist Structural Equation Modeling
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2015 This video covers how to run a canonical correlation in SPSS using the syntax provided on IBM's website, along with data screening. Lecture materials and assignments available at statisticsofdoom.com. https://statisti
From playlist Advanced Statistics Videos
R - Multitrait Multimethod (MTMM) Lecture
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers multi trait multi method analyses, which can be used to understand the convergent and divergent validity of scales. You will learn how to program and examine the steps to these models us
From playlist Structural Equation Modeling 2020
The Fock-Space Landscape across the Many-Body Localisation Transition by Sthitadhi Roy
SEMINAR THE FOCK-SPACE LANDSCAPE ACROSS THE MANY-BODY LOCALISATION TRANSITION SPEAKER: Sthitadhi Roy (University of Oxford, UK) DATE: Tue, 01 June 2021, 14:30 to 16:00 VENUE:Online Seminar ABSTRACT Many-body localised (MBL) phases of matter fall outside the conventional paradigm o
From playlist Seminar Series
Ian McCulloch: "Finite-entanglement scaling functions at quantum critical points"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "Finite-entanglement scaling functions at quantum critical points" Ian McCulloch - University of Queensland Abstract: For translationally invariant infinite
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
Conformal field theory and statistical mechanics (Lecture - 01)by John Cardy
Bangalore School on Statistical Physics - VIII DATE: 28 June 2017 to 14 July 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru This advanced level school is the eighth in the series. This is a pedagogical school, aimed at bridging the gap between masters-level courses and topics in s
From playlist Bangalore School on Statistical Physics - VIII
Recorded: Summer 2015 Lecturer: Dr. Erin M. Buchanan Packages needed: lavaan, semPlot Class assignment for structural equation modeling. Topic covers how program a multitrait-multimethod analysis (Widaman Steps), analysis steps to this analysis, interpret the loadings, and determine conve
From playlist Structural Equation Modeling
Robert Batterman - Mesoscale Models and Many-Body Systems - IPAM at UCLA
Recorded 17 February 2022. Robert Batterman of the University of Pittsburgh presents "Mesoscale Models and Many-Body Systems" at IPAM's Mathematics of Collective Intelligence Workshop. Abstract: Many-body systems often display different behaviors at different scales. The behavior of a flui
From playlist Workshop: Mathematics of Collective Intelligence - Feb. 15 - 19, 2022.
Jamovi: Correlation and Regression
From playlist Jamovi
Peaks, Exclusion and BAO - Tobias Baldauf
Tobias Baldauf - September 24, 2015 http://sns.ias.edu/~baldauf/Bias/index.html The interpretation of low-redshift galaxy surveys is more complicated than the interpretation of CMB temperature anisotropies. First, the matter distribution evolves nonlinearly at low redshift, limiting the
From playlist Unbiased Cosmology from Biased Tracers
Intro to the Correlation Coefficient
Brief intro to the correlation coefficient. What it means to have negative correlation, positive correlation or zero correlation. Pearson's, sample and population formulas.
From playlist Correlation