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
∙
06/02/2022
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
High-dimensional data, with many more covariates than observations, such...
research
∙
09/17/2021
Inference in Gaussian state-space models with mixed effects for multiple epidemic dynamics
The estimation from available data of parameters governing epidemics is ...
research
∙
09/16/2020
A review on asymptotic inference in stochastic differential equations with mixed-effects
This paper is a survey of recent contributions on estimation in stochast...
research
∙
07/17/2020
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques
Despite the recent development of methods dealing with partially observe...
research
∙
09/13/2019
