Linear Regression using Scikit-Learn: A Simple Tutorial Overview If you are new to scikit-learn and regression analysis, this tutorial will help you learn by implementing simple linear regression ...

"Regression analysis allows you to model and predict some process based on its relationship to a specific dependent variable or variables. Often times, however, a standard regression model is ...

Learn how to improve your regression model performance for data analysis. Apply tips and techniques such as choosing the right type of regression, handling outliers, correcting for ...

Learn how to improve your linear regression model's resistance to outliers by applying some simple and effective methods. Discover how to detect, remove, transform, or use robust regression to ...

Abstract:This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation ...

Tomohiro Ando, Ker-Chau Li, A Model-Averaging Approach for High-Dimensional Regression, Journal of the American Statistical Association, Vol. 109, No. 505 (March 2014), pp. 254-265 ...

For bivariate normal regression models our approach is identical to the usual procedure for combining intra- and interblock information. In general the approaches are not the same. Detailed ...