This article explains how to implement linear ridge regression from scratch, using the C# language. Linear ridge regression (LRR) is a relatively simple variation of standard linear regression.

Next, specify the linear regression model with a MODEL statement. The MODEL statement in PROC TSCSREG is specified like the MODEL statement in other SAS regression procedures: the dependent variable ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterplots; examples of these ...

Deep Treatment Learning (deepTL), a robust yet efficient deep learningbased semiparametric regression approach, is proposed to adjust the complex confounding structures in comparative effectiveness ...