In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables. The term "MARS" is trademarked and licensed to Salford Systems. In order to avoid trademark infringements, many open-source implementations of MARS are called "Earth". (Wikipedia).
What is Multicollinearity? Extensive video + simulation!
See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 2:16 Intuition 4:13 How does it affect our regression output? 6:55 Detection method I: Correlations 8:37 Detection method II: Variance Inflation Factors (VIFs) 11:50 Remedies 15:13 Justin's Simulation (COOL!) 22:17
From playlist Regression series (10 videos)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
How to us SPSS for Multiple Linear Regression
Visual explanation on how to create a multiple linear regression model using SPSS. Includes step by step explanation of how to use SPSS. First Video in a series of four videos. Playlist on SPSS for Multiple Linear Regression http://www.youtube.com/playlist?list=PLWtoq-EhUJe2Z8wz0jnmrbc6
From playlist Using SPSS for Multiple Linear Regression
How to Read the Model Summary Table Used In SPSS Regression
Visual explanation on how to read the Model Summary table generated by SPSS. Includes step by step explanation of each calculated value. Includes explanation plus visual explanation. Includes explanations about Adjusted R Square, Std. Error of the Estimate, Pearson r. Playlist on Using
From playlist Using SPSS for Multiple Linear Regression
How to Calculate Linear Regression SPSS
A visual explanation on how to calculate a regression equation using SPSS. The video explains r square, standard error of the estimate and coefficients. Like us on: http://www.facebook.com/PartyMoreStudyLess David Longstreet Professor of the Universe Professor of the Universe: David L
From playlist Linear Regression.
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.
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
From playlist Contributed talks One World Symposium 2020
Data Science - Part XV - MARS, Logistic Regression, & Survival Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview on extending the regression concepts brought forth in previous lectures. We wi
From playlist Data Science
Nithin Govindarajan: "Spline-based separable expansions for approximation, regression & classifi..."
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop I: Tensor Methods and their Applications in the Physical and Data Sciences "Spline-based separable expansions for approximation, regression and classification" Nithin Govindarajan - KU Leuven, ESAT ST
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 2
Recorded during the meeting "Data Assimilation and Model Reduction in High Dimensional Problems" the July 21, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Luca Récanzone A kinetic description of a plasma in external and self-consistent fiel
From playlist Numerical Analysis and Scientific Computing
Statistical Rethinking Winter 2019 Lecture 04
Lecture 04 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. This lectures covers the material in Chapter 4 of the book, including polynomial regression and basis splines.
From playlist Statistical Rethinking Winter 2019
How to calculate Linear Regression using R. http://www.MyBookSucks.Com/R/Linear_Regression.R http://www.MyBookSucks.Com/R Playlist http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C
From playlist Linear Regression.
Michael Unser: "Splines and imaging: From compressed sensing to deep neural networks"
Deep Learning and Medical Applications 2020 "Splines and imaging: From compressed sensing to deep neural networks" Michael Unser - École Polytechnique Fédérale de Lausanne (EPFL), Biomedical Imaging Group Abstract: Our intent is to demonstrate the optimality of splines for the resolution
From playlist Deep Learning and Medical Applications 2020
Discover how Easystats in R can improve your linear and regression model analysis | Tutorial Data
Revolutionize your data analysis game with Easystats - the library that makes linear and regression model analysis a breeze!!! #R #rstudio #datascience #regression Comprehensive visualization of model checks checking model assumptions comparing models with plots model performances and co
From playlist Regression with R
Statistical Rethinking 2022 Lecture 16 - Gaussian Processes
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=uYNzqgU7na4 Music: https://www.youtube.com/watch?v=kXuasY8pDpA Music: https://www.youtube.com/watch?v=eTtTB0nZdL0 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM
From playlist Statistical Rethinking 2022
Anthony Nouy: "Approximation and learning with tree tensor networks"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop I: Tensor Methods and their Applications in the Physical and Data Sciences "Approximation and learning with tree tensor networks" Anthony Nouy - Université de Nantes Abstract: Tree tensor networks (T
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
04-3 Sensitivity Analysis Trees
Sensitivity analysis using classification and regression trees
From playlist QUSS GS 260
Statistical Rethinking - Lecture 19
Lecture 19 - Gaussian processes, measurement error - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
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.