research
∙
06/29/2023
Estimation and variable selection in a joint model of survival times and longitudinal outcomes with random effects
This paper considers a joint survival and mixed-effects model to explain...
share
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...
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
∙
10/12/2020
Modeling dependent survival data through random effects with spatial correlation at the subject level
Dynamical phenomena such as infectious diseases are often investigated b...
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
∙
09/16/2019
Convergent stochastic algorithm for parameter estimation in frailty models using integrated partial likelihood
Frailty models are often the model of choice for heterogeneous survival ...
research
∙
09/13/2019
Estimating Fisher Information Matrix in Latent Variable Models based on the Score Function
The Fisher information matrix (FIM) is a key quantity in statistics as i...
research
∙
07/22/2019
Properties of the Stochastic Approximation EM Algorithm with Mini-batch Sampling
To speed up convergence a mini-batch version of the Monte Carlo Markov C...
research
∙
12/22/2017
