280 citations · 707 across the 23 of their papers we have counts for
5 papers · 1 filter
Semi-supervised empirical Bayes group-regularized factor regression
Magnus M. Münch, Mark A. van de Wiel, Aad W. van der Vaart +1
The features in high dimensional biomedical prediction problems are often well described with lower dimensional manifolds. An example is genes that are organised in smaller functio…
Adaptive group-regularized logistic elastic net regression
Magnus M. Münch, Carel F. W. Peeters, Aad W. van der Vaart +1
In high-dimensional data settings, additional information on the features is often available. Examples of such external information in omics research are: (a) p-values from a previ…
Asymptotic Normality of Quadratic Estimators
James Robins, Lingling Li, Eric Tchetgen Tchetgen +1
We prove conditional asymptotic normality of a class of quadratic U-statistics that are dominated by their degenerate second order part and have kernels that change with the number…
Higher Order Estimating Equations for High-dimensional Models
James Robins, Lingling Li, Rajarshi Mukherjee +2
We introduce a new method of estimation of parameters in semiparametric and nonparametric models. The method is based on estimating equations that are -statistics in the observa…
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…