To address this issue, we introduce the L 1 norm from lasso technique (Tibshirani, 1996) to regularize the above likelihood function.
instead of maximizing the likelihood, we can minimize the loss function of the negative log-likelihood with a linear penalty: where λ 1 is the regularization coefficient.