21 citations · 36 across the 6 of their papers we have counts for
6 papers
The use of the EM algorithm for regularization problems in high-dimensional linear mixed-effects models
Daniela C. R. Oliveira, Fernanda L. Schumacher, Victor H. Lachos
The EM algorithm is a popular tool for maximum likelihood estimation but has not been used much for high-dimensional regularization problems in linear mixed-effects models. In this…
Censored autoregressive regression models with Student- innovations
Katherine A. L. Valeriano, Fernanda L. Schumacher, Christian E. Galarza +1
The Student- distribution is widely used in statistical modeling of datasets involving outliers since its longer-than-normal tails provide a robust approach to hand such data. F…
Canonical fundamental skew-t linear mixed models
Fernanda L. Schumacher, Larissa A. Matos, Celso R. B. Cabral
In clinical trials, studies often present longitudinal data or clustered data. These studies are commonly analyzed using linear mixed models (LMMs), usually considering Gaussian as…
A robust nonlinear mixed-effects model for COVID-19 deaths data
Fernanda L. Schumacher, Clecio S. Ferreira, Marcos O. Prates +2
The analysis of complex longitudinal data such as COVID-19 deaths is challenging due to several inherent features: (i) Similarly-shaped profiles with different decay patterns; (ii)…
Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions
Fernanda L. Schumacher, Dipak K. Dey, Victor H. Lachos
Nonlinear mixed effects models have received a great deal of attention in the statistical literature in recent years because of their flexibility in handling longitudinal studies,…
Scale mixture of skew-normal linear mixed models with within-subject serial dependence
Fernanda L. Schumacher, Victor H. Lachos, Larissa A. Matos
In longitudinal studies, repeated measures are collected over time and hence they tend to be serially correlated. In this paper we consider an extension of skew-normal/independent…