activity
20142026
most citedDetecting functional decline from normal ageing to dementia: development and validation of a short version of the Amsterdam IADL Questionnaire

121 citations · 430 across the 18 of their papers we have counts for

collaborators

18 papers

stat.ML2026

Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation

Carel F. W. Peeters

The common factor analytic model is related to Helmholtz and Boltzmann machines, can be conceived as a linear autoencoder, or can be thought of as a single-hidden-layer generative…

stat.ME2025★ 1 cited

REML implementations of kernel-based genomic prediction models for genotype x environment x management interactions

Killian A. C. Melsen, Salvador Gezan, Daniel J. Tolhurst +2

High-throughput pheno-, geno-, and envirotyping allows characterization of plant genotypes and the trials they are evaluated in, producing different types of data. These different…

stat.ME2024★ 2 cited

Improving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach

Killian A. C. Melsen, Jonathan F. Kunst, José Crossa +4

Decreasing costs and new technologies have led to an increase in the amount of data available to plant breeding programs. High-throughput phenotyping (HTP) platforms routinely gene…

stat.ME2021★ 4 cited

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…

stat.ME2020★ 9 cited

rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices

Carel F. W. Peeters, Anders Ellern Bilgrau, Wessel N. van Wieringen

A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems o…

stat.AP2019★ 32 cited

A Note on a Simple and Practical Randomized Response Framework for Eliciting Sensitive Dichotomous & Quantitative Information

Carel F. W. Peeters, Gerty J. L. M. Lensvelt-Mulders, Karin Lasthuizen

Many issues of interest to social scientists and policymakers are of a sensitive nature in the sense that they are intrusive, stigmatizing or incriminating to the respondent. This…