7 citations · 11 across the 7 of their papers we have counts for
9 papers
Spatial Censored Regression Models in R: The CensSpatial package
Jose A. Ordonez, Christian E. Galarza, Victor H. Lachos
CensSpatial is an R package for analyzing spatial censored data through linear models. It offers a set of tools for simulating, estimating, making predictions, and performing local…
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)…
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…