3 citations · 11 across the 11 of their papers we have counts for
13 papers
Estimation and variable selection in high dimension in nonlinear mixed-effects models
Antoine Caillebotte, Estelle Kuhn, Sarah Lemler
We consider nonlinear mixed effects models including high-dimensional covariates to model individual parameters variability. The objective is to identify relevant covariates among…
Efficient preconditioned stochastic gradient descent for estimation in latent variable models
Charlotte Baey, Maud Delattre, Estelle Kuhn +2
Latent variable models are powerful tools for modeling complex phenomena involving in particular partially observed data, unobserved variables or underlying complex unknown structu…
Estimation and variable selection in high dimension in a causal joint model of survival times and longitudinal outcomes with random effects
Antoine Caillebotte, Estelle Kuhn, Sarah Lemler
We consider a joint survival and mixed-effects model to explain the survival time from longitudinal data and high-dimensional covariates in a population. The longitudinal data is m…
Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and a singular Fisher Information Matrix
Tom Guédon, Charlotte Baey, Estelle Kuhn
We examine the problem of variance components testing in general mixed effects models using the likelihood ratio test. We account for the presence of nuisance parameters, i.e. the…
Modeling dependent survival data through random effects with spatial correlation at the subject level
Ajmal Oodally, Estelle Kuhn, Klara Goethals +1
Dynamical phenomena such as infectious diseases are often investigated by following up subjects longitudinally, thus generating time to event data. The spatial aspect of such data…
varTestnlme: an R package for Variance Components Testing in Linear and Nonlinear Mixed-effects Models
Charlotte Baey, Estelle Kuhn
The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random. While tests for fixed ef…