Understanding farm dams, including their distribution and reasoning, is important in Australia. While most researches have aimed at the impact of farm dams, quantifying their spatial distribution is highly desired from management perspective. However, it is a difficult task due to the large...

We introduce a path following algorithm for "L"₁-regularized generalized linear models. The "L"₁-regularization procedure is useful especially because it, in effect, selects variables according to the amount of penalization on the "L"₁-norm of the coefficients, in a manner that is less greedy...

We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation. In addition, the elastic net encourages a grouping effect, where...

We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l_1 and l_2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a regularization path. We demonstrate the...