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 ...

Linda M. Haines, The Application of the Annealing Algorithm to the Construction of Exact Optimal Designs for Linear-Regression Models, Technometrics, Vol. 29, No. 4 (Nov., 1987), pp. 439-447 ...

Linear regression draws corresponding trend lines, such as disease outbreaks, bitcoin prices, demand for software experts, etc.