This paper studies sparse linear regression analysis with outliers in the responses. A parameter vector for modeling outliers is added to the standard linear regression model and then the sparse ...

This type of statistical analysis consists of examining various data points to determine which variables are most notable predictors. Linear regression draws corresponding trend lines, such as ...

What is linear regression? Linear regression is a basic machine learning algorithm that is used for predicting a variable based on its linear relationship between other independent variables.

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

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, ...

This paper presents a piecewise regression method for continuous models containing max or min operators, or both. This method does not require knowledge of the zone in which a shift in regimes occurs.