| Student-t censored regression model: properties and inference RB Arellano-Valle, LM Castro, G González-Farías, KA Muñoz-Gajardo Statistical Methods & Applications 21, 453-473, 2012 | 62 | 2012 |
| Bayesian inference for shape mixtures of skewed distributions, with application to regression analysis RB Arellano-Valle, LM Castro, MG Genton, HW Gómez | 62 | 2008 |
| Identification of the 1PL model with guessing parameter: Parametric and semi-parametric results E San Martín, JM Rolin, LM Castro Psychometrika 78, 341-379, 2013 | 59 | 2013 |
| Bayesian inference in nonlinear mixed–effects models using normal independent distributions VH Lachos, LM Castro, DK Dey Computational Statistics & Data Analysis 64, 237-252, 2013 | 56 | 2013 |
| Skew‐normal/independent linear mixed models for censored responses with applications to HIV viral loads D Bandyopadhyay, VH Lachos, LM Castro, DK Dey Biometrical Journal 54 (3), 405-425, 2012 | 55 | 2012 |
| Robust quantile regression using a generalized class of skewed distributions C Galarza Morales, V Lachos Davila, C Barbosa Cabral, L Castro Cepero Stat 6 (1), 113-130, 2017 | 40 | 2017 |
| Change point detection in the skew-normal model parameters RB Arellano-Valle, LM Castro, RH Loschi Communications in Statistics-Theory and Methods 42 (4), 603-618, 2013 | 28* | 2013 |
| Censored linear regression models for irregularly observed longitudinal data using the multivariate-t distribution AM Garay, LM Castro, J Leskow, VH Lachos Statistical methods in medical research 26 (2), 542-566, 2017 | 24 | 2017 |
| A note on the parameterization of multivariate skewed-normal distributions LM Castro, E San Martin, RB Arellano-Valle Brazilian Journal of Probability and Statistics 27 (1), 110-115, 2013 | 23* | 2013 |
| Influential observations in the independent Student-t measurement error model with weak nondifferential error I Vidal, LM Castro Chilean Journal of Statistics 1 (2), 17-34, 2010 | 23 | 2010 |
| 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 | 20 | 2022 |
| Model-based clustering of censored data via mixtures of factor analyzers WL Wang, LM Castro, VH Lachos, TI Lin Computational Statistics & Data Analysis 140, 104-121, 2019 | 20 | 2019 |
| Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-t distribution LM Castro, DR Costa, MO Prates, VH Lachos Statistics and computing 25, 1163-1183, 2015 | 20 | 2015 |
| Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads LA Matos, LM Castro, VH Lachos Test 25, 627-653, 2016 | 19 | 2016 |
| 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 | 19 | 2015 |
| Quantile regression for nonlinear mixed effects models: a likelihood based perspective CE Galarza, LM Castro, F Louzada, VH Lachos Statistical Papers 61 (3), 1281-1307, 2020 | 18 | 2020 |
| Epsilon half-normal model: Properties and inference LM Castro, HW Gómez, M Valenzuela Computational Statistics & Data Analysis 56 (12), 4338-4347, 2012 | 18 | 2012 |
| 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 | 15 | 2015 |
| 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 | 13 | 2019 |
| Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors G Ferreira, LM Castro, VH Lachos, R Dias Journal of Applied Statistics 40 (8), 1796-1816, 2013 | 13 | 2013 |
Victor Hugo Lachos DavilaProfessor at University of ConnecticutVerified email at uconn.edu