Articles with public access mandates - Victor Hugo Lachos DavilaLearn more
Not available anywhere: 4
Likelihood-based inference for the multivariate skew-t regression with censored or missing responses
KAL Valeriano, CE Galarza, LA Matos, VH Lachos
Journal of Multivariate Analysis 196, 105174, 2023
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo
An EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses
CE Galarza, LA Matos, VH Lachos
Metron 80 (2), 231-253, 2022
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo
Bayesian semiparametric longitudinal data modeling using NI densities
L Castro, V Lachos, D Galvis, D Bandyopadhyay
Current Trends in Bayesian Methodology with Applications, 157-176, 2015
Mandates: US National Institutes of Health
Spatial skew‐normal/independent models for nonrandomly missing clustered data
D Bandyopadhyay, MO Prates, X Zhao, VH Lachos
Statistics in Medicine 40 (13), 3085-3105, 2021
Mandates: US National Institutes of Health
Available somewhere: 24
Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions
CA Abanto-Valle, D Bandyopadhyay, VH Lachos, I Enriquez
Computational Statistics & Data Analysis 54 (12), 2883-2898, 2010
Mandates: US National Institutes of Health
Linear and nonlinear mixed-effects models for censored HIV viral loads using normal/independent distributions
VH Lachos, D Bandyopadhyay, DK Dey
Biometrics 67 (4), 1594-1604, 2011
Mandates: US National Institutes of Health
Likelihood-based inference for mixed-effects models with censored response using the multivariate-t distribution
LA Matos, MO Prates, MH Chen, VH Lachos
Statistica Sinica, 1323-1345, 2013
Mandates: US National Institutes of Health
Augmented mixed beta regression models for periodontal proportion data
DM Galvis, D Bandyopadhyay, VH Lachos
Statistics in medicine 33 (21), 3759-3771, 2014
Mandates: US National Institutes of Health
Quantile regression in linear mixed models: a stochastic approximation EM approach
CE Galarza, VH Lachos, D Bandyopadhyay
Statistics and its Interface 10 (3), 471, 2017
Mandates: US National Institutes of Health
Linear mixed models for skew‐normal/independent bivariate responses with an application to periodontal disease
D Bandyopadhyay, VH Lachos, CA Abanto‐Valle, P Ghosh
Statistics in Medicine 29 (25), 2643-2655, 2010
Mandates: US National Institutes of Health
Finite mixture modeling of censored data using the multivariate Student-t distribution
VH Lachos, EJL Moreno, K Chen, CRB Cabral
Journal of Multivariate Analysis 159, 151-167, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions
VH Lachos, D Bandyopadhyay, AM Garay
Statistics & probability letters 81 (8), 1208-1217, 2011
Mandates: US National Institutes of Health
Quantile regression for censored mixed-effects models with applications to HIV studies
VH Lachos, MH Chen, CA Abanto-Valle, CLN Azevedo
Statistics and its interface 8 (2), 203, 2015
Mandates: US National Institutes of Health
Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error
D Bandyopadhyay, LM Castro, VH Lachos, HP Pinheiro
Journal of Agricultural, Biological, and Environmental Statistics 20, 121-139, 2015
Mandates: US National Institutes of Health
Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution
CE Galarza, LA Matos, LM Castro, VH Lachos
Journal of Multivariate Analysis 189, 104944, 2022
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo
Augmented mixed models for clustered proportion data
D Bandyopadhyay, DM Galvis, VH Lachos
Statistical methods in medical research 26 (2), 880-897, 2017
Mandates: US National Institutes of Health
On moments of folded and doubly truncated multivariate extended skew-normal distributions
CEG Morales, LA Matos, DK Dey, VH Lachos
Journal of Computational and Graphical Statistics 31 (2), 455-465, 2022
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo
Geostatistical estimation and prediction for censored responses
JA Ordoñez, D Bandyopadhyay, VH Lachos, CRB Cabral
Spatial statistics 23, 109-123, 2018
Mandates: US National Institutes of Health
Influence assessment in censored mixed-effects models using the multivariate student’st distribution
LA Matos, D Bandyopadhyay, LM Castro, VH Lachos
Journal of multivariate analysis 141, 104-117, 2015
Mandates: US National Institutes of Health
Flexible longitudinal linear mixed models for multiple censored responses data
VH Lachos, L A. Matos, LM Castro, MH Chen
Statistics in medicine 38 (6), 1074-1102, 2019
Mandates: US National Institutes of Health
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