The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Jian Zhu, Trivellore E. Raghunathan, Convergence Properties of a Sequential Regression Multiple Imputation Algorithm, Journal of the American Statistical Association, Vol. 110, No. 511 (September 2015 ...

9. Multiple Linear Regression 9.1. Preliminaries As before, we need to start by: Loading the Pandas and Statsmodels libraries Reading the data from a CSV file Fixing the column names using Panda’s ...

We propose a multivariate sparse group lasso variable selection and estimation method for data with highdimensional predictors as well as high-dimensional response variables. The method is carried out ...