The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

The CATMOD procedure can perform linear regression and logistic regression of response functions for data that can be represented in a contingency table. See Chapter 5, "Introduction to Categorical ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 70, No. 1 (2008), pp. 53-71 (19 pages) The group lasso is an extension of the lasso to do variable selection on ...

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...

We apply an alternative statistical method, logistic regression, to estimate the strength of selection on multiple phenotypic traits. First, we argue that the logistic regression model is more ...

The GENMOD procedure is also a general statistical modeling tool which fits generalized linear models to data: it fits several useful models to categorical data including logistic regression, the ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

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, ...