This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a Bayesian approach, intended to ...

Variable imputation was performed by polytomous regression (unordered categorical variables), LR (binary variables), and Bayesian linear regression (continuous variables). Multiple (m = 5) imputation ...

C. C. Holmes, B. K. Mallick, Bayesian Regression with Multivariate Linear Splines, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.