Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

One useful tool to help us make sense of these kinds of problems is regression. Regression is a statistical method that allows us to look at the relationship between two variables, while holding other ...

Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the ...

Antonio Cuevas, Manuel Febrero, Ricardo Fraiman, Linear Functional Regression: The Case of Fixed Design and Functional Response, The Canadian Journal of Statistics / La Revue Canadienne de Statistique ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.