4 citations · 4 across the 3 of their papers we have counts for
3 papers
Safe preselection in lasso-type problems by cross-validation freezing
Linn Cecilie Bergersen, Ismaïl Ahmed, Arnoldo Frigessi +2
We propose a new approach to safe variable preselection in high-dimensional penalized regression, such as the lasso. Preselection - to start with a manageable set of covariates - h…
Monte Carlo algorithms for model assessment via conflicting summaries
Oliver Ratmann, Pierre Pudlo, Sylvia Richardson +1
The development of statistical methods and numerical algorithms for model choice is vital to many real-world applications. In practice, the ABC approach can be instrumental for seq…
Classification Loss Function for Parameter Ensembles in Bayesian Hierarchical Models
Cedric E. Ginestet, Nicky G. Best, Sylvia Richardson
Parameter ensembles or sets of point estimates constitute one of the cornerstones of modern statistical practice. This is especially the case in Bayesian hierarchical models, where…