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
Fan Yang (U Penn) -- Sample canonical correlation coefficients of high-dimensional random vectors
We study the the sample correlation between two ensembles of high dimensional random vectors from the perspective of canonical-correlation analysis (CCA). Assuming almost sharp moment assumptions on the vector entries, we prove that the finite rank correlations will lead to outliers in the
From playlist Northeastern Probability Seminar 2020
Introduction to Regression Analysis
This video introduced analysis and discusses how to determine if a given regression equation is a good model using r and r^2.
From playlist Performing Linear Regression and Correlation
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Representing multivariate random signals using principal components. Principal component analysis identifies the basis vectors that describe the la
From playlist Random Signal Characterization
An introduction to Regression Analysis
Regression Analysis, R squared, statistics class, GCSE Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos Playlist on Linear Regression http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C Using SPSS for Multiple Linear Regression http://www.youtube.com/playlist?li
From playlist Linear Regression.
How to find correlation in Excel with the Data Analysis Toolpak
Click this link for more information on correlation coefficients plus more FREE Excel videos and tips: http://www.statisticshowto.com/what-is-the-pearson-correlation-coefficient/
From playlist Regression Analysis
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
Victor Panaretos: The extrapolation of correlation
CONFERENCE Recording during the thematic meeting : "Adaptive and High-Dimensional Spatio-Temporal Methods for Forecasting " the September 29, 2022 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks
From playlist Analysis and its Applications
Planar Ising model at criticality: State-of-the-art and perspectives – Dmitry Chelkak – ICM2018
Analysis and Operator Algebras | Probability and Statistics Invited Lecture 8.7 | 12.8 Planar Ising model at criticality: State-of-the-art and perspectives Dmitry Chelkak Abstract: In this essay, we briefly discuss recent developments, started a decade ago in the seminal work of Smirnov
From playlist Probability and Statistics
Oleg Lisovyi: Monodromy dependence of Painlevé tau functions
In many interesting cases, distribution functions of random matrix theory and correlation functions of integrable models of statistical mechanics and quantum field theory are given by tau functions of Painlevé equations. I will discuss an extension of the Jimbo-Miwa-Ueno differential to th
From playlist Jean-Morlet Chair - Grava/Bufetov
Deep Learning Lecture 7.4 - VAMPnet
Learning Slow Manifolds with Markovian methods - variational approach for Markov processes (VAMP) - VAMPnet
From playlist Deep Learning Lecture
Similarity of neural network representations revisited
Speaker/author: Simon Kornblith For details including papers and slides, please visit https://aisc.ai.science/events/2019-09-22-similarity-nn-representation
From playlist Natural Language Processing
The Nature of Causation: The Regularity Theory
What is causation? In this first lecture in this series on the nature of causation, Marianne Talbot discusses Hume's famous account of causation, which is a version of the so-called regularity theory. We have causal theories of reference, perception, knowledge, content and numerous other
From playlist The Nature of Causation
An Introduction to Gauge/gravity Duality and Holographic Renorma... (Lecture 3) by Kostas Skenderis
PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II
From playlist NUMSTRING 2022
Xiao Fu - Multiview and Self-Supervised Representation Learning: Nonlinear Mixture Identification
Recorded 9 January 2023. Xiao Fu of Oregon State University presents "Understanding Multiview and Self-Supervised Representation Learning: A Nonlinear Mixture Identification Perspective" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Abstract: Central to repres
From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
Suvrat Raju - Local operators, black hole interiors and the information paradox in AdS CFT (1)
PROGRAM: THE 8TH ASIAN WINTER SCHOOL ON STRINGS, PARTICLES AND COSMOLOGY DATES: Thursday 09 Jan, 2014 - Saturday 18 Jan, 2014 VENUE: Blue Lily Hotel, Puri PROGRAM LINK: http://www.icts.res.in/program/asian8 The 8th Asian Winter School on Strings, Particles and Cosmology is part of a seri
From playlist The 8th Asian Winter School on Strings, Particles and Cosmology