Covariance (8 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn what is and how to find the correlation coefficient of 2 data sets and see how it corresponds to the graph of the data
From playlist COVARIANCE AND VARIANCE
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 (12 of 17) Covariance Matrix wth 3 Data Sets and Correlation Coefficients
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the correlation coefficients of the 3 data sets form the previous 2 videos. Next video in this series can be seen at:
From playlist COVARIANCE AND VARIANCE
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
Rank Correlations: Spearman's and Kendall's Tau (FRM T5-06)
In this video, we will briefly review the Pearson correlation coefficient. Of course, that's the most popular measure of correlation, but mostly just so we have a baseline to compare to the two measures of rank correlations. Specifically, we will look at the Spearman's rank correlation and
From playlist Market Risk (FRM Topic 5)
Covariance (9 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will calculate the correlation coefficients of 2 separate 2 data sets and graph the 2 graphs and see how the graphs corresponds t
From playlist COVARIANCE AND VARIANCE
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 (14 of 17) Covariance Matrix "Normalized" - Correlation Coefficient
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the “normalized” matrix (or the correlation coefficients) from the covariance matrix from the previous video using 3 sa
From playlist COVARIANCE AND VARIANCE
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
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
Network Analysis. Lecture 5. Centrality measures.
Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Katz status index and Bonacich centrality, alpha centrality. Spearman rho and Kendall-Tau ranking distance. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lect
From playlist Structural Analysis and Visualization of Networks.
R - Grammar Analysis with Logistic Regression
Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology In this video, I cover a lecture from my Human Language. I go over the idea of exploring larger language models by doing an analysis to predict word choice in causative constructions. To create our models, we u
From playlist Advanced Statistics Videos
R & Python - Logistic Regression
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. Next in our series is logistic regression - treated more as a statistical techni
From playlist Human Language (ANLY 540)
Peter Sarnak, Summation formulae in spectral theory and number theory [2021]
A talk in honor of Zeev Rudnick's 60th birthday Peter Sarnak, Summation formulae in spectral theory and number theory (Institute for Advanced Study and Princeton University) Abstract: The Poisson Summation formula, Riemann-Guinand-Weil explicit formula, Selberg Trace Formula and Lefsche
From playlist Number Theory
Evaluation 15: binary preference and Kendall tau
We can evaluate the search algorithm based directly on user clicks from the query log. Each click generates a set of preferences, and we can measure how well our ranking agrees with those preferences. The agreement can be measured with the Kendall tau coefficient, or with the binary prefer
From playlist IR13 Evaluating Search Engines
Sexually antagonistic selection - data by Aneil Agrawal
Program Fourth Bangalore School on Population Genetics and Evolution ORGANIZERS: Deepa Agashe and Kavita Jain DATE: 27 January 2020 to 07 February 2020 VENUE: Ramanujan Lecture Hall, ICTS Bangalore No living organism escapes evolutionary change, and evolutionary biology thus connect
From playlist Fourth Bangalore School On Population Genetics And Evolution
Ian Zemke - Concordance surgery and the Ozsváth--Szabó 4-manifold invariant
June 29, 2018 - This talk was part of the 2018 RTG mini-conference Low-dimensional topology and its interactions with symplectic geometry
From playlist 2018 RTG mini-conference on low-dimensional topology and its interactions with symplectic geometry II
Sophie Achard: Statistical comparisons of spatio-temporal networks
CONFERENCE Recording during the thematic meeting : " Machine Learning and Signal Processing on Graphs" the November 7, 2022 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide math
From playlist Probability and Statistics
Jennifer Hom - Knot concordance in homology cobordisms
June 22, 2018 - This talk was part of the 2018 RTG mini-conference Low-dimensional topology and its interactions with symplectic geometry We consider the group of knots in homology spheres that bound homology balls, modulo smooth concordance in homology cobordisms. Answering a question o
From playlist 2018 RTG mini-conference on low-dimensional topology and its interactions with symplectic geometry I
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE