Skew-normal linear mixed models RB Arellano-Valle, H Bolfarine, VH Lachos Journal of data science 3 (4), 415-438, 2005 | 264 | 2005 |
Likelihood based inference for skew-normal independent linear mixed models VH Lachos, P Ghosh, RB Arellano-Valle Statistica Sinica, 303-322, 2010 | 250 | 2010 |
Multivariate mixture modeling using skew-normal independent distributions CRB Cabral, VH Lachos, MO Prates Computational Statistics & Data Analysis 56 (1), 126-142, 2012 | 186 | 2012 |
On estimation and influence diagnostics for zero-inflated negative binomial regression models AM Garay, EM Hashimoto, EMM Ortega, VH Lachos Computational Statistics & Data Analysis 55 (3), 1304-1318, 2011 | 178 | 2011 |
Robust mixture modeling based on scale mixtures of skew-normal distributions RM Basso, VH Lachos, CRB Cabral, P Ghosh Computational Statistics & Data Analysis 54 (12), 2926-2941, 2010 | 174 | 2010 |
Bayesian inference for skew-normal linear mixed models RB Arellano-Valle, H Bolfarine, VH Lachos Journal of Applied Statistics 34 (6), 663-682, 2007 | 162 | 2007 |
mixsmsn: Fitting finite mixture of scale mixture of skew-normal distributions MO Prates, VH Lachos, CRB Cabral Journal of Statistical Software 54, 1-20, 2013 | 161 | 2013 |
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 | 97 | 2010 |
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 | 87 | 2011 |
A nonlinear regression model with skew-normal errors VG Cancho, VH Lachos, EMM Ortega Statistical papers 51, 547-558, 2010 | 82 | 2010 |
Skew normal measurement error models RB Arellano-Valle, S Ozan, H Bolfarine, VH Lachos Journal of Multivariate Analysis 96 (2), 265-281, 2005 | 76 | 2005 |
Skew scale mixtures of normal distributions: Properties and estimation C da Silva Ferreira, H Bolfarine, VH Lachos Statistical Methodology 8 (2), 154-171, 2011 | 75 | 2011 |
Likelihood-based inference for multivariate skew-normal regression models VH Lachos, H Bolfarine, RB Arellano-Valle, LC Montenegro Communications in Statistics—Theory and Methods 36 (9), 1769-1786, 2007 | 72 | 2007 |
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 | 71 | 2013 |
Robust linear mixed models with skew-normal independent distributions from a Bayesian perspective VH Lachos, DK Dey, VG Cancho Journal of Statistical Planning and Inference 139 (12), 4098-4110, 2009 | 71 | 2009 |
Augmented mixed beta regression models for periodontal proportion data DM Galvis, D Bandyopadhyay, VH Lachos Statistics in medicine 33 (21), 3759-3771, 2014 | 64 | 2014 |
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics VG Cancho, DK Dey, VH Lachos, MG Andrade Computational Statistics & Data Analysis 55 (1), 588-602, 2011 | 62 | 2011 |
Robust mixture regression modeling based on scale mixtures of skew-normal distributions CB Zeller, CRB Cabral, VH Lachos Test 25, 375-396, 2016 | 56 | 2016 |
Bayesian estimation of a skew-student-t stochastic volatility model CA Abanto-Valle, VH Lachos, DK Dey Methodology and Computing in Applied Probability 17, 721-738, 2015 | 52 | 2015 |
Multivariate measurement error models based on scale mixtures of the skew–normal distribution VH Lachos, FV Labra, H Bolfarine, P Ghosh Statistics 44 (6), 541-556, 2010 | 52 | 2010 |