19 citations · 94 across the 16 of their papers we have counts for
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stat.ME2022★ 12 cited
sparsegl: An R Package for Estimating Sparse Group Lasso
Xiaoxuan Liang, Aaron Cohen, Anibal Solón Heinsfeld +2
The sparse group lasso is a high-dimensional regression technique that is useful for problems whose predictors have a naturally grouped structure and where sparsity is encouraged a…
stat.ME2022
Smooth multi-period forecasting with application to prediction of COVID-19 cases
Elena Tuzhilina, Trevor J. Hastie, Daniel J. McDonald +2
Forecasting methodologies have always attracted a lot of attention and have become an especially hot topic since the beginning of the COVID-19 pandemic. In this paper we consider t…