24 citations · 24 across the 3 of their papers we have counts for
3 papers
stat.ME2021
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization
Linh Nghiem, Francis K. C. Hui, Samuel Mueller +1
We introduce a new sparse sliced inverse regression estimator called Cholesky matrix penalization and its adaptive version for achieving sparsity in estimating the dimensions of th…
stat.ME2019
Lasso tuning through the flexible-weighted bootstrap
Ellis Patrick, Samuel Mueller
Regularized regression approaches such as the Lasso have been widely adopted for constructing sparse linear models in high-dimensional datasets. A complexity in fitting these model…
stat.ME2007★ 24 cited
Robust model selection in generalized linear models
Samuel Mueller, A. H. Welsh
In this paper, we extend to generalized linear models (including logistic and other binary regression models, Poisson regression and gamma regression models) the robust model selec…