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08/03/2023
The use of the EM algorithm for regularization problems in high-dimensional linear mixed-effects models
The EM algorithm is a popular tool for maximum likelihood estimation but...
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10/01/2021
Censored autoregressive regression models with Student-t innovations
This paper proposes an algorithm to estimate the parameters of a censore...
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09/24/2021
Canonical fundamental skew-t linear mixed models
In clinical trials, studies often present longitudinal data or clustered...
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07/29/2020
Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions
Nonlinear mixed effects models have received a great deal of attention i...
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07/02/2020
A robust nonlinear mixed-effects model for COVID-19 deaths data
The analysis of complex longitudinal data such as COVID-19 deaths is cha...
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02/03/2020
