2 papers
math.ST2024
Permutation-based multiple testing when fitting many generalized linear models
Riccardo De Santis, Jelle J. Goeman, Samuel Davenport +2
In many applied sciences a popular analysis strategy for high-dimensional data is to fit many multivariate generalized linear models in parallel. This paper presents a novel approa…
stat.ME2024
Inference in generalized linear models with robustness to misspecified variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik +2
Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice. Consequently, standard parametric methods may suffer apprecia…