Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
2D Stability Selection: Design Jittering to Exclude Correlated Irrelevant Features
Mahdi Nouraie, Houying Zhu, Samuel Muller
Stability Selection resamples the observations but leaves the design untouched, so it cannot reject an irrelevant feature that is correlated with the relevant ones in a way that vi…
stat.ME2024
High-dimensional sliced inverse regression with endogeneity
Linh H. Nghiem, Francis. K. C. Hui, Samuel Muller +1
Sliced inverse regression (SIR) is a popular sufficient dimension reduction method that identifies a few linear transformations of the covariates without losing regression informat…
stat.ME2024
Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
Quan Vu, Francis K. C. Hui, Samuel Muller +1
When fitting generalized linear mixed models (GLMMs), one important decision to make relates to the choice of the random effects distribution. As the random effects are unobserved,…