7 citations · 14 across the 15 of their papers we have counts for
8 papers · 1 filter
On moments of folded and doubly truncated multivariate extended skew-normal distributions
Christian E. Galarza, Larissa A. Matos, Dipak K. Dey +1
This paper develops recurrence relations for integrals that relate the density of multivariate extended skew-normal (ESN) distribution, including the well-known skew-normal (SN) di…
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
Francisco H. C. de Alencar, Christian E. Galarza, Larissa A. Matos +1
Finite mixture models have been widely used to model and analyze data from a heterogeneous populations. Moreover, data of this kind can be missing or subject to some upper and/or l…
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,…
Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew- distribution
Christian E. Galarza, Larissa A. Matos, Victor H. Lachos
In this paper, we compute doubly truncated moments for the selection elliptical (SE) class of distributions, which includes some multivariate asymmetric versions of well-known elli…
Heckman selection-t model: parameter estimation via the EM-algorithm
Victor H. Lachos Davila, Marcos O. Prates, Dipak K. Dey
Heckman selection model is perhaps the most popular econometric model in the analysis of data with sample selection. The analyses of this model are based on the normality assumptio…