1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2022
Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso
Jyrki Möttönen, Tero Lähderanta, Janne Salonen +1
Lasso is a popular and efficient approach to simultaneous estimation and variable selection in high-dimensional regression models. In this paper, a robust LAD-lasso method for mult…
stat.ME2021★ 1 cited
Reducing bias and alleviating the influence of excess of zeros with multioutcome adaptive LAD-lasso
Jyrki Möttönen, Tero Lähderanta, Janne Salonen +1
Zero-inflated explanatory variables are common in fields such as ecology and finance. In this paper we address the problem of having excess of zero values in some explanatory varia…