10 citations · 15 across the 3 of their papers we have counts for
6 papers
Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage
Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland +3
While shrinkage is essential in high-dimensional settings, its use for low-dimensional regression-based prediction has been debated. It reduces variance, often leading to improved…
Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models
Jurre R. Veerman, Gwenael G. R. Leday, Mark A. van de Wiel
For high-dimensional linear regression models, we review and compare several estimators of variances and of the random slopes and errors, respectively. These variances…
Fast Bayesian inference in large Gaussian graphical models
Gwenaël G. R. Leday, Sylvia Richardson
Despite major methodological developments, Bayesian inference for Gaussian graphical models remains challenging in high dimension due to the tremendous size of the model space. Thi…
An empirical Bayes approach to network recovery using external knowledge
Gino B. Kpogbezan, Aad W. van der Vaart, Wessel N. van Wieringen +2
Reconstruction of a high-dimensional network may benefit substantially from the inclusion of prior knowledge on the network topology. In the case of gene interaction networks such…
Gene network reconstruction using global-local shrinkage priors
Gwenaël G. R. Leday, Mathisca C. M. de Gunst, Gino B. Kpogbezan +3
Reconstructing a gene network from high-throughput molecular data is often a challenging task, as the number of parameters to estimate easily is much larger than the sample size. A…
Modeling association between DNA copy number and gene expression with constrained piecewise linear regression splines
Gwenaël G. R. Leday, Aad W. van der Vaart, Wessel N. van Wieringen +1
DNA copy number and mRNA expression are widely used data types in cancer studies, which combined provide more insight than separately. Whereas in existing literature the form of th…