3 papers
stat.CO2019
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…
stat.ME2018
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…
stat.ME2016
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…