Victor Hugo Lachos Davila

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Heleno Bolfarineuniversity of sao pauloVerified email at ime.usp.br
Celso Rômulo Barbosa CabralFull Professor, Department of Statistics, Federal Univesity of AmazonasVerified email at ufam.edu.br
Dipak K. DeyDistinguished Professor of Statistics, UConnVerified email at uconn.edu
Aldo Medina GarayFederal University of PernambucoVerified email at de.ufpe.br
Mauricio CastroPontificia Universidad Católica de ChileVerified email at uc.cl
Marcos Oliveira PratesAssociate professor of Statistics, Universidade Federal de Minas GeraisVerified email at est.ufmg.br
Carlos Antonio Abanto-ValleFederal University of Rio de JaneiroVerified email at im.ufrj.br
Christian Galarza MoralesProfesor, Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del LitoralVerified email at espol.edu.ec
Filidor Vilca LabraUniversidade Estadual de CampinasVerified email at ime.unicamp.br
Dipankar BandyopadhyayProfessor of Biostatistics, Virginia Commonwealth University, Richmond, VAVerified email at vcu.edu
Clécio da Silva FerreiraProfessor Estatística, Universidade Federal de Juiz de ForaVerified email at ufjf.edu.br
Tsung-l LinInstitute of Statistics, National Chung Hsing UniversityVerified email at nchu.edu.tw
Ming-Hui ChenUniversity of ConnecticutVerified email at uconn.edu
Reiko AokiUniversidade de São PauloVerified email at icmc.usp.br
Jorge Luis BazanUniversidade de São PauloVerified email at icmc.usp.br
Denise Reis CostaKreftregisteretVerified email at kreftregisteret.no
N BalakrishnanMcMaster UniversityVerified email at mcmaster.ca
Cristian BayesPontificia Universidad Católica del PerúVerified email at pucp.edu.pe
Mariana Rodrigues MottaProfessor of Statistics, Universidade de Campinas (UNICAMP)Verified email at ime.unicamp.br
Hildete PinheiroAssociate professor, Unicamp, BrazilVerified email at ime.unicamp.br

Victor Hugo Lachos Davila

Professor at University of Connecticut

Verified email at uconn.edu - Homepage

Censored mixed effects models Skew models Spatial models Augmented models Finite Mixtures


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Skew-normal linear mixed models RB Arellano-Valle, H Bolfarine, VH Lachos Journal of data science 3 (4), 415-438, 2005	270	2005
Likelihood based inference for skew-normal independent linear mixed models VH Lachos, P Ghosh, RB Arellano-Valle Statistica Sinica, 303-322, 2010	256	2010
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	196	2011
Multivariate mixture modeling using skew-normal independent distributions CRB Cabral, VH Lachos, MO Prates Computational Statistics & Data Analysis 56 (1), 126-142, 2012	190	2012
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	182	2010
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	170	2013
Bayesian inference for skew-normal linear mixed models RB Arellano-Valle, H Bolfarine, VH Lachos Journal of Applied Statistics 34 (6), 663-682, 2007	168	2007
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	100	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	94	2011
A nonlinear regression model with skew-normal errors VG Cancho, VH Lachos, EMM Ortega Statistical papers 51, 547-558, 2010	87	2010
Skew scale mixtures of normal distributions: Properties and estimation C da Silva Ferreira, H Bolfarine, VH Lachos Statistical Methodology 8 (2), 154-171, 2011	82	2011
Skew normal measurement error models RB Arellano-Valle, S Ozan, H Bolfarine, VH Lachos Journal of Multivariate Analysis 96 (2), 265-281, 2005	81	2005
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	77	2013
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	71	2007
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	70	2009
Augmented mixed beta regression models for periodontal proportion data DM Galvis, D Bandyopadhyay, VH Lachos Statistics in medicine 33 (21), 3759-3771, 2014	68	2014
Robust mixture regression modeling based on scale mixtures of skew-normal distributions CB Zeller, CRB Cabral, VH Lachos Test 25, 375-396, 2016	66	2016
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	63	2011
Linear censored regression models with scale mixtures of normal distributions AM Garay, VH Lachos, H Bolfarine, CRB Cabral Statistical Papers 58, 247-278, 2017	57	2017
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	56	2010

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