Victor H. Lachos

29 papers Journal 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo.
Comput. Stat.
Heeju Lim, Victor Eduardo Lachos Olivares, Victor H. Lachos
2026 J jnl
Finite mixtures of matrix-variate shifted generalized asymmetric Laplace distribution for three-way data.
J. Comput. Appl. Math.
Carlos Alberto Ribeiro Diniz, Jhonata Da Silva Pereira, Victor H. Lachos
2025 J jnl
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data.
Stat. Comput.
Victor H. Lachos, Salvatore D. Tomarchio, Antonio Punzo, Salvatore Ingrassia
2025 J jnl
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions.
Comput. Stat.
Luis Benites, Victor H. Lachos, Heleno Bolfarine, Camila Borelli Zeller
2025 J jnl
skewlmm : An
J. Stat. Softw.
Fernanda L. Schumacher, Larissa A. Matos, Victor H. Lachos
2024 J jnl
CensSpatial: An R package for estimation and diagnostics in spatial censored regression models.
SoftwareX
Jose A. Ordoñez, Christian E. Galarza, Victor H. Lachos
2024 J jnl
Finite mixture of regression models for censored data based on the skew-t distribution.
Comput. Stat.
Jiwon Park, Dipak K. Dey, Victor H. Lachos
2023 J jnl
Likelihood-based inference for the multivariate skew-t regression with censored or missing responses.
J. Multivar. Anal.
Katherine A. L. Valeriano, Christian E. Galarza, Larissa A. Matos, Victor H. Lachos
2022 J jnl
Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data.
J. Classif.
Francisco H. C. de Alencar, Larissa A. Matos, Victor H. Lachos
2022 J jnl
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution.
Adv. Data Anal. Classif.
Francisco H. C. de Alencar, Christian E. Galarza, Larissa A. Matos, Victor H. Lachos
2022 J jnl
Linear mixed models based on skew scale mixtures of normal distributions.
Commun. Stat. Simul. Comput.
Clécio da Silva Ferreira, Heleno Bolfarine, Victor H. Lachos
2022 J jnl
Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution.
J. Multivar. Anal.
Christian E. Galarza, Larissa A. Matos, Luis Mauricio Castro, Victor H. Lachos
2022 J jnl
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions.
J. Comput. Graph. Stat.
Christian E. Galarza Morales, Larissa A. Matos, Dipak K. Dey, Victor H. Lachos
2021 J jnl
Heckman selection-t model: Parameter estimation via the EM-algorithm.
J. Multivar. Anal.
Victor H. Lachos, Marcos Oliveira Prates, Dipak K. Dey
2019 J jnl
Flexible regression modeling for censored data based on mixtures of student-t distributions.
Comput. Stat.
Victor H. Lachos, Celso R. B. Cabral, Marcos Oliveira Prates, Dipak K. Dey
2019 J jnl
Model-based clustering of censored data via mixtures of factor analyzers.
Comput. Stat. Data Anal.
Wan-Lun Wang, Luis Mauricio Castro, Victor H. Lachos, Tsung-I Lin
2018 J jnl
Multidimensional multiple group IRT models with skew normal latent trait distributions.
J. Multivar. Anal.
Juan L. Padilla, Caio L. N. Azevedo, Victor H. Lachos
2017 J jnl
Finite mixture modeling of censored data using the multivariate Student-t distribution.
J. Multivar. Anal.
Victor H. Lachos, Edgar J. López Moreno, Kun Chen, Celso Rômulo Barbosa Cabral
2015 J jnl
Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution.
J. Multivar. Anal.
Larissa A. Matos, Dipankar Bandyopadhyay, Luis Mauricio Castro, Victor H. Lachos
2014 J jnl
Estimation methods for multivariate Tobit confirmatory factor analysis.
Comput. Stat. Data Anal.
Denise Reis Costa, Victor H. Lachos, Jorge L. Bazán, Caio L. N. Azevedo
2013 J jnl
Influence diagnostics in linear and nonlinear mixed-effects models with censored data.
Comput. Stat. Data Anal.
Larissa A. Matos, Victor H. Lachos, Narayanaswamy Balakrishnan, Filidor V. Labra
2012 J jnl
Multivariate mixture modeling using skew-normal independent distributions.
Comput. Stat. Data Anal.
Celso Rômulo Barbosa Cabral, Victor H. Lachos, Marcos Oliveira Prates
2011 J jnl
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics.
Comput. Stat. Data Anal.
Vicente G. Cancho, Dipak K. Dey, Victor H. Lachos, Marinho Gomes Andrade
2011 J jnl
On estimation and influence diagnostics for zero-inflated negative binomial regression models.
Comput. Stat. Data Anal.
Aldo M. Garay, Elizabeth M. Hashimoto, Edwin M. M. Ortega, Victor H. Lachos
2010 J jnl
Influence analyses of skew-normal/independent linear mixed models.
Comput. Stat. Data Anal.
Camila Borelli Zeller, Filidor V. Labra, Victor H. Lachos, Narayanaswamy Balakrishnan
2010 J jnl
Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions.
Comput. Stat. Data Anal.
Carlos A. Abanto-Valle, Debiprasad Bandyopadhyay, Victor H. Lachos, I. Enriquez
2010 J jnl
Robust mixture modeling based on scale mixtures of skew-normal distributions.
Comput. Stat. Data Anal.
Rodrigo M. Basso, Victor H. Lachos, Celso Rômulo Barbosa Cabral, Pulak Ghosh
2009 J jnl
A robust Bayesian approach to null intercept measurement error model with application to dental data.
Comput. Stat. Data Anal.
Pulak Ghosh, Cristian L. Bayes, Victor H. Lachos
2009 J jnl
Influence Diagnostics for a Skew Extension of the Grubbs Measurement Error Model.
Commun. Stat. Simul. Comput.
Lourdes C. Montenegro, Heleno Bolfarine, Victor H. Lachos