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 ...

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