1 citations · 1 across the 6 of their papers we have counts for
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On optimal two-stage testing of multiple mediators
Vera Djordjilović, Jesse Hemerik, Magne Thoresen
Mediation analysis in high-dimensional settings often involves identifying potential mediators among a large number of measured variables. For this purpose, a two-step familywise e…
Robust Sure Independence Screening for Non-polynomial dimensional Generalized Linear Models
Abhik Ghosh, Erica Ponzi, Torkjel Sandanger +1
We consider the problem of variable screening in ultra-high dimensional generalized linear models (GLMs) of non-polynomial orders. Since the popular SIS approach is extremely unsta…
A robust variable screening procedure for ultra-high dimensional data
Abhik Ghosh, Magne Thoresen
Variable selection in ultra-high dimensional regression problems has become an important issue. In such situations, penalized regression models may face computational problems and…
Permutation testing in high-dimensional linear models: an empirical investigation
Jesse Hemerik, Magne Thoresen, Livio Finos
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the sample size, is a well-studied topic. The common approach of such tests is to pe…