56 citations · 118 across the 14 of their papers we have counts for
3 papers · 1 filter
Exponential Consistency of M-estimators in Generalized Linear Mixed Models
Andrea M. Bratsberg, Magne Thoresen, Abhik Ghosh
Generalized linear mixed models are powerful tools for analyzing clustered data, where the unknown parameters are classically (and most commonly) estimated by the maximum likelihoo…
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…
When and why are principal component scores a good tool for visualizing high-dimensional data?
Kristoffer Hellton, Magne Thoresen
Principal component analysis (PCA) is a popular dimension reduction technique often used to visualize high-dimensional data structures. In genomics, this can involve millions of va…