research
∙
06/22/2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models
Latent variable models are powerful tools for modeling complex phenomena...
share
research
∙
06/19/2023
Bootstrap test procedure for variance components in nonlinear mixed effects models in the presence of nuisance parameters and singular Fisher Information Matrix
We examine the problem of variance components testing in general mixed e...
research
∙
04/07/2022
Calibration of a bumble bee foraging model using Approximate Bayesian Computation
1. Challenging calibration of complex models can be approached by using ...
research
∙
07/09/2020
varTestnlme: Variance Components Testing in Linear and Nonlinear Mixed-effects Models
The issue of variance components testing arises naturally when building ...
research
∙
12/22/2017