Nonparametric regression

Multivariate adaptive regression spline

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).

Multivariate adaptive regression spline
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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)

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Multicollinearity (Part A)

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

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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

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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

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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.

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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.

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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

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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

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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

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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

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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

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Linear Regression Using R

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.

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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

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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

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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

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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

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04-3 Sensitivity Analysis Trees

Sensitivity analysis using classification and regression trees

From playlist QUSS GS 260

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Statistical Rethinking - Lecture 19

Lecture 19 - Gaussian processes, measurement error - Statistical Rethinking: A Bayesian Course with R Examples

From playlist Statistical Rethinking Winter 2015

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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.

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Logistic regression | Random forest | Piecewise | Regression analysis | Feature selection | Segmented regression | Statistics | Well-posed problem | Local regression | Inverse problem | Decision tree learning | Generalized additive model | Residual sum of squares | Rectifier (neural networks) | Generalized linear model | Linear model | Greedy algorithm | Spline interpolation | Linear regression | Recursive partitioning | R (programming language) | Predictive analytics | Nonlinear regression | Artificial neural network | Ramp function | Dependent and independent variables | Spline (mathematics) | Basis function | Cross-validation (statistics) | Brute-force search