Least squares method for simple linear regression
In this video I show you how to derive the equations for the coefficients of the simple linear regression line. The least squares method for the simple linear regression line, requires the calculation of the intercept and the slope, commonly written as beta-sub-zero and beta-sub-one. Deriv
From playlist Machine learning
Method of least squares | Lecture 13 | Vector Calculus for Engineers
The method of least-squares is derived for fitting a line to experimental points by setting partial derivatives equal to zero. Join me on Coursera: https://www.coursera.org/learn/vector-calculus-engineers Lecture notes at http://www.math.ust.hk/~machas/vector-calculus-for-engineers.pdf
From playlist Vector Calculus for Engineers
Find the Shortest Path - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Linear Regression - Least Squares Criterion Part 2
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Linear Regression - Least Squares Criterion Part 2. In this video, I actually find the equation of the linear model and show the formulas to get there. I go
From playlist All Videos - Part 1
Linear Regression Using Least Squares Method - Line of Best Fit Equation
This statistics video tutorial explains how to find the equation of the line that best fits the observed data using the least squares method of linear regression. My Website: https://www.video-tutor.net Patreon: https://www.patreon.com/MathScienceTutor Amazon Store: https://www.amazon.
From playlist Statistics
Fitting a Line using Least Squares #SoME2
Interactive links: 1DOF: https://cryptic-spinach.github.io/1DoF/ 2DOF: https://cryptic-spinach.github.io/2DoF/ 2DOF mobile: https://cryptic-spinach.github.io/least_squares_2DoF/ Collaboration links: I worked with Chase Reynolds for the #SoME2 contest. Check out his website and Twitter her
From playlist Summer of Math Exposition 2 videos
EXTRA MATH 11B: Finding the least squares estimates
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Lisbeth Fajstrup: The algebra of directed structures and a detour to TDA
The lecture was held within the framework of the Hausdorff Trimester Program : Applied and Computational Algebraic Topology
From playlist HIM Lectures: Trimester Program "K-Theory and Related Fields"
R - Multigroup Confirmatory Factor Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This video lecture covers the steps and procedures for a multigroup confirmatory factory analysis. The Brown (2006) Applied CFA terminology and procedure are used. Partial invariance procedures and latent means are disc
From playlist Structural Equation Modeling
Evgeni Dimitrov (Columbia) -- Towards universality for Gibbsian line ensembles
Gibbsian line ensembles are natural objects that arise in statistical mechanics models of random tilings, directed polymers, random plane partitions and avoiding random walks. In this talk I will discuss a general framework for establishing universal KPZ scaling limits for sequences of Gib
From playlist Columbia Probability Seminar
Flat Entanglement Spectra in Fixed-area Eigenstates of Quantum Gravity - Don Marolf
Workshop on Quantum Information and the Structure of Spacetime Topic: Flat Entanglement Spectra in Fixed-area Eigenstates of Quantum Gravity Speaker: Don Marolf Date: December 4, 2018 For more video please visit http://video.ias.edu
From playlist Workshop on Quantum Information and the Structure of Spacetime
What is General Relativity? Lesson 21: Geodesic Equation Part 4: Null and Conformal Geodesics
This video is about What is General Relativity? Lesson 21: Null and Conformal Geodesics In this lecture we clean up a few topics: 1) The Lagrangian for null geodesics and, 2) The relationship between geodesics of conformally related metrics. Check out the forums at http://xylyxylyx.freef
From playlist What is General Relativity?
Felix Otto: Singular SPDE with rough coefficients
Abstract: We are interested in parabolic differential equations (∂t−a∂2x)u=f with a very irregular forcing f and only mildly regular coefficients a. This is motivated by stochastic differential equations, where f is random, and quasilinear equations, where a is a (nonlinear) function of u.
From playlist Probability and Statistics
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This example covers how to perform a multigroup confirmatory factor analysis with two groups walking through the invariance steps suggested by Brown in his Applied CFA book. The lavaan and semTools packages are used to
From playlist Structural Equation Modeling
Statistical Learning: 6.10 Principal Components Regression and Partial Least Squares
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers multigroup invariance testing in confirmatory factor analysis. You will learn how to perform the normal set of steps, along with some notes on other alternatives you can use. You can l
From playlist Structural Equation Modeling 2020
6 6 Black Scholes Merton pricing Part 3
BEM1105x Course Playlist - https://www.youtube.com/playlist?list=PL8_xPU5epJdfCxbRzxuchTfgOH1I2Ibht Produced in association with Caltech Academic Media Technologies. ©2020 California Institute of Technology
From playlist BEM1105x Course - Prof. Jakša Cvitanić
Least Squares, A Geometric Perspective
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 4 Linear Algebra: Inner Products