21 citations · 31 across the 8 of their papers we have counts for
8 papers
Moments and random number generation for the truncated elliptical family of distributions
Katherine A. L. Valeriano, Christian E. Galarza, Larissa A. Matos
This paper proposes an algorithm to generate random numbers from any member of the truncated multivariate elliptical family of distributions with a strictly decreasing density gene…
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…
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…
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…