References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Lachos, Victor H.; Prates, Marcos O.; Dey, Dipak K.: Heckman selection-(t) model: parameter estimation via the EM-algorithm (2021)
  2. Matos, Larissa A.; Lachos, Víctor H.; Lin, Tsung-I; Castro, Luis M.: Heavy-tailed longitudinal regression models for censored data: a robust parametric approach (2019)
  3. Wang, Wan-Lun: Mixture of multivariate (t) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values (2019)
  4. Zeller, Camila Borelli; Cabral, Celso Rômulo Barbosa; Lachos, Víctor Hugo; Benites, Luis: Finite mixture of regression models for censored data based on scale mixtures of normal distributions (2019)
  5. Zhang, Hongbin; Wu, Lang: Joint model of accelerated failure time and mechanistic nonlinear model for censored covariates, with application in HIV/AIDS (2019)
  6. Rubio, F. J.; Steel, M. F. J.: Flexible linear mixed models with improper priors for longitudinal and survival data (2018)
  7. Wu, Lang; Zhang, Hongbin: Mixed effects models with censored covariates, with applications in HIV/AIDS studies (2018)
  8. Lachos, Víctor H.; Moreno, Edgar J. López; Chen, Kun; Cabral, Celso Rômulo Barbosa: Finite mixture modeling of censored data using the multivariate Student-(t) distribution (2017)
  9. Matos, Larissa A.; Castro, Luis M.; Lachos, Víctor H.: Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads (2016)
  10. Yuan, Haijing; Yang, Fengkai: A non-iterative Bayesian sampling algorithm for censored Student-(t) linear regression models (2016)
  11. Bandyopadhyay, Dipankar; Castro, Luis M.; Lachos, Victor H.; Pinheiro, Hildete P.: Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error (2015)
  12. Bernhardt, Paul W.; Zhang, Daowen; Wang, Huixia Judy: A fast EM algorithm for Fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits (2015)
  13. Castro, Luis Mauricio; Costa, Denise Reis; Prates, Marcos Oliveira; Lachos, Victor Hugo: Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-(t) distribution (2015)
  14. Garay, Aldo M.; Bolfarine, Heleno; Lachos, Victor H.; Cabral, Celso R. B.: Bayesian analysis of censored linear regression models with scale mixtures of normal distributions (2015)
  15. Matos, Larissa A.; Bandyopadhyay, Dipankar; Castro, Luis M.; Lachos, Victor H.: Influence assessment in censored mixed-effects models using the multivariate Student’s-(t) distribution (2015)
  16. Costa, D. R.; Lachos, V. H.; Bazan, J. L.; Azevedo, C. L. N.: Estimation methods for multivariate tobit confirmatory factor analysis (2014)
  17. Slaoui, Y.; Nuel, G.: Parameter estimation in a hierarchical random intercept model with censored response: an approach using a SEM algorithm and Gibbs sampling (2014)
  18. Gałecki, Andrzej; Burzykowski, Tomasz: Linear mixed-effects models using R. A step-by-step approach (2013)
  19. Matos, Larissa A.; Lachos, Victor H.; Balakrishnan, N.; Labra, Filidor V.: Influence diagnostics in linear and nonlinear mixed-effects models with censored data (2013)