V. H. Lachos

发表

Bayesian Inference for Skew-normal Linear Mixed Models

R. Arellano-Valle, H. Bolfarine, V. H. Lachos, 2007 .

Local Influence Analysis for Skew-Normal Linear Mixed Models

H. Bolfarine, V. H. Lachos, L. C. Montenegro, 2009 .

Quantile regression for nonlinear mixed effects models: a likelihood based perspective

C. E. Galarza, F. Louzada, V. H. Lachos, 2020 .

Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions

Aldo M. Garay, V. H. Lachos, T. B. Mattos, 2018 .

Geostatistical estimation and prediction for censored responses.

Jose A. Ordonez, V. H. Lachos, D. Bandyopadhyay, 2018, Spatial statistics.

Influence diagnostics in spatial models with censored response

Aldo M. Garay, D. Dey, V. H. Lachos, 2017 .

Quantile regression in linear mixed models: a stochastic approximation EM approach.

C. E. Galarza, V. H. Lachos, D. Bandyopadhyay, 2017, Statistics and its interface.

Quantile Regression for Mixed-Effects Models

C. E. Galarza, V. H. Lachos, Ana Regina Machado, 2015 .

mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions

V. H. Lachos, M. Prates, C. Cabral, 2013 .

Robust Bayesian model selection for heavy-tailed linear regression using finite mixtures

V. H. Lachos, M. Prates, F. Gonccalves, 2015, 1509.00331.

Multivariate skew-normal/independent distributions: properties and inference

Filidor V. Labra, V. H. Lachos, F. V. Labra, 2014 .

Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model

Dipak K. Dey, D. Dey, V. H. Lachos, 2015 .

Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence

V. H. Lachos, L. A. Matos, Fernanda Lang Schumacher, 2020, Statistics in medicine.

Linear mixed models based on skew scale mixtures of normal distributions

H. Bolfarine, V. H. Lachos, C. S. Ferreira, 2020, Commun. Stat. Simul. Comput..

Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution

C. E. Galarza, V. H. Lachos, L. A. Matos, 2020, Advances in Data Analysis and Classification.

Flexible longitudinal linear mixed models for multiple censored responses data

Ming-Hui Chen, V. H. Lachos, L. M. Castro, 2018, Statistics in medicine.

Linear regression models using finite mixtures of skew heavy-tailed distributions

Rocío Maehara, H. Bolfarine, V. H. Lachos, 2019 .

Heavy-tailed longitudinal regression models for censored data: a robust parametric approach

V. H. Lachos, Tsung-I Lin, L. M. Castro, 2018, TEST.

Skew-probit measurement error models

Heleno Bolfarine, Victor H. Lachos, H. Bolfarine, 2007 .

Augmented mixed models for clustered proportion data

V. H. Lachos, D. Bandyopadhyay, Diana M. Galvis, 2017, Statistical methods in medical research.

Stochastic volatility in mean models with scale mixtures of normal distributions and correlated erro

H. Migon, V. H. Lachos, C. A. Abanto-Valle, 2011 .

Bayesian estimation of a skew-t stochastic volatility model

D. Dey, V. H. Lachos, C. A. Abanto-Valle, 2011 .

Bayesian Analysis of Heavy-tailed Stochastic Volatility in Mean model using Scale Mixtures of Normal distributions

H. Migon, V. H. Lachos, C. A. Abanto-Valle, 2009 .

Bayesian analysis of skew-normal independent linear mixed models with heterogeneity in the random-effects population

Victor H. Lachos, Celso Rômulo Barbosa Cabral, V. H. Lachos, 2012 .

A robust multivariate measurement error model with skew-normal/independent distributions and Bayesian MCMC implementation

Reiko Aoki, Victor H. Lachos, Filidor V. Labra, 2009 .

Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach

R. Arellano-Valle, V. H. Lachos, L. M. Castro, 2014 .

Stochastic volatility in mean models with heavy-tailed distributions

H. Migon, V. H. Lachos, C. A. Abanto-Valle, 2012 .

Influence diagnostics for censored regression models with autoregressive errors

V. H. Lachos, L. M. Castro, Fernanda Lang Schumacher, 2018 .

Censored regression models with autoregressive errors: A likelihood‐based perspective

D. Dey, V. H. Lachos, Fernanda Lang Schumacher, 2017 .

Heavy-tailed longitudinal regression models for censored data: A likelihood based perspective

V. H. Lachos, Tsung-I Lin, L. M. Castro, 2015 .

A mixed‐effect model for positive responses augmented by zeros

Filidor V. Vilca, V. H. Lachos, R. Fisberg, 2015, Statistics in medicine.

Diagnostics for censored mixed-effects models using the multivariate t-distribution

V. H. Lachos, D. Bandyopadhyay, L. M. Castro, 2013 .

Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model

Aldo M. Garay, H. Bolfarine, V. H. Lachos, 2015 .

Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach

D. Dey, F. Louzada, V. H. Lachos, 2017 .

Case-Deletion Diagnostics for Quantile Regression Using the Asymmetric Laplace Distribution

V. H. Lachos, Filidor Vilca, Luis Benites, 2015, 1509.05099.

Augmented mixed beta regression models for periodontal proportion data

V. H. Lachos, D. Bandyopadhyay, Diana M. Galvis, 2014, Statistics in medicine.

Statistical analysis of controlled calibration model with replicates

H. Bolfarine, V. H. Lachos, Betsabé Blas, 2013 .

Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors

V. H. Lachos, L. M. Castro, G. Ferreira, 2013 .

A non-iterative sampling Bayesian method for linear mixed models with normal independent distributions

V. H. Lachos, C. R. B. Cabral, C. A. Abanto-Valle, 2012 .

Bayesian Semiparametric Longitudinal Data Modeling Using NI Densities

V. H. Lachos, D. Bandyopadhyay, L. M. Castro, 2015 .

Bayesian analysis of censored linear regression models with scale mixtures of skew-normal distributions

Aldo M. Garay, V. H. Lachos, C. R. B. Cabral, 2017 .

Influence diagnostics for censored linear regression models with skewed and heavy-tailed distributions

Aldo M. Garay, V. H. Lachos, T. B. Mattos, 2016 .

Local influence analysis for regression models with scale mixtures of skew-normal distributions

V. H. Lachos, C. B. Zeller, F. Vilca-Labra, 2011 .

Multivariate measurement error models based on scale mixtures of the skew–normal distribution

Filidor V. Labra, H. Bolfarine, V. H. Lachos, 2010 .

On diagnostics in multivariate measurement error models under asymmetric heavy-tailed distributions

V. H. Lachos, C. B. Zeller, R. R. Carvalho, 2012 .

Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data

V. H. Lachos, L. A. Matos, Francisco H. C. de Alencar, 2022, J. Classif..

Regression modeling of censored data based on compound scale mixtures of normal distributions

H. Bolfarine, V. H. Lachos, C. B. Zeller, 2023, Brazilian Journal of Probability and Statistics.

Extending multivariate Student's‐ t$$ t $$ semiparametric mixed models for longitudinal data with censored responses and heavy tails

V. H. Lachos, L. M. Castro, T. B. Mattos, 2022, Statistics in medicine.

Flexible regression modeling for censored data based on mixtures of student-t distributions

D. Dey, V. H. Lachos, M. Prates, 2018, Computational Statistics.

Likelihood-based inference for multivariate skew scale mixtures of normal distributions

H. Bolfarine, V. H. Lachos, C. S. Ferreira, 2016, AStA Advances in Statistical Analysis.

Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model

D. Dey, V. H. Lachos, C. A. Abanto-Valle, 2013, Methodology and Computing in Applied Probability.

Finite mixture of regression models for censored data based on scale mixtures of normal distributions

V. H. Lachos, C. B. Zeller, Luis Benites, 2018, Advances in Data Analysis and Classification.

Linear censored regression models with scale mixtures of normal distributions

Aldo M. Garay, H. Bolfarine, V. H. Lachos, 2015, Statistical Papers.

Generalized linear mixed models for correlated binary data with t-link

V. H. Lachos, M. Prates, D. R. Costa, 2013, Statistics and Computing.

On moments of folded and truncated multivariate Student-t distributions based on recurrence relations

C. E. Galarza, V. H. Lachos, Tsung-I Lin, 2021, Metrika.

Robust mixture regression modeling based on scale mixtures of skew-normal distributions

V. H. Lachos, C. B. Zeller, C. R. Cabral, 2015, TEST.

Assessing influence in survival data with a cured fraction and covariates

V. H. Lachos, V. Cancho, E. Ortega, 2008 .

Model-based clustering of censored data via mixtures of factor analyzers

Wan-Lun Wang, Tsung-I Lin, Victor H. Lachos, 2019, Comput. Stat. Data Anal..

Robust mixture modeling based on scale mixtures of skew-normal distributions

Victor H. Lachos, Celso Rômulo Barbosa Cabral, Pulak Ghosh, 2010, Comput. Stat. Data Anal..

Bayesian analysis of censored linear regression models with scale mixtures of normal distributions

Aldo M. Garay, H. Bolfarine, V. H. Lachos, 2015 .

Skew‐normal/independent linear mixed models for censored responses with applications to HIV viral loads

Dipankar Bandyopadhyay, Victor H Lachos, Dipak K Dey, 2012, Biometrical journal. Biometrische Zeitschrift.

Bayesian analysis for a skew extension of the multivariate null intercept measurement error model

V. H. Lachos, V. Cancho, Reiko Aoki, 2008 .

Mixed-effects models for censored data with autoregressive errors

Rommy C Olivari, Aldo M Garay, Victor H Lachos, 2020, Journal of biopharmaceutical statistics.

Quantile regression for nonlinear mixed effects models: a likelihood based perspective

C. E. Galarza, F. Louzada, V. H. Lachos, 2018, Statistical Papers.

Logistic Quantile Regression for Bounded Outcomes Using a Family of Heavy-Tailed Distributions

C. E. Galarza, V. H. Lachos, Panpan Zhang, 2020, Sankhya B.

Likelihood Based Inference for Quantile Regression Using the Asymmetric Laplace Distribution

Victor H. Lachos, Filidor V. Labra, V. H. Lachos, 2013 .

Skew-normal Linear Mixed Models

R. Arellano-Valle, H. Bolfarine, V. H. Lachos, 2005, Journal of Data Science.

Robust Regression Modeling for Censored Data based on Mixtures of Student-t Distributions

V. H. Lachos, Luis Sánchez, C. R. Cabral, 2015 .

Quantile regression for censored mixed-effects models with applications to HIV studies.

Ming-Hui Chen, Victor H Lachos, Carlos A Abanto-Valle, 2015, Statistics and its interface.

Robust mixture regression modeling based on scale mixtures of skew-normal distributions

V. H. Lachos, C. B. Zeller, C. R. Cabral, 2016 .

Influence diagnostics for Student-t censored linear regression models

Victor H. Lachos, Celso Rômulo Barbosa Cabral, Larissa A. Matos, 2015 .

Flexible Modeling of Random Effects in Linear Mixed Models using Skew-Normal Distribution

V. H. Lachos, C. S. Ferreira, C. R. Cabral, 2010 .

On estimation and influence diagnostics for zero-inflated negative binomial regression models

Victor H. Lachos, Elizabeth M. Hashimoto, Edwin M. M. Ortega, 2011, Comput. Stat. Data Anal..

A Confidence Set Analysis for Observed Samples: A Fuzzy Set Approach

Alexandre Galvão Patriota, Victor H. Lachos, Luis Mauricio Castro, 2016, Entropy.

Multivariate measurement error models based on Student-t distribution under censored responses

V. H. Lachos, L. M. Castro, L. A. Matos, 2018, Statistics.

Skew-Normal Calibration Comparative Models

V. H. Lachos, V. Cancho, E. Ortega, 2018 .

Inference for a skew extension of the Grubbs model

Heleno Bolfarine, Victor H. Lachos, Lourdes C. Montenegro, 2010 .

Bayesian analysis of skew-t multivariate null intercept measurement error model

V. H. Lachos, V. Cancho, Reiko Aoki, 2010 .

A robust Bayesian approach to null intercept measurement error model with application to dental data

Victor H. Lachos, Pulak Ghosh, C. L. Bayes, 2009, Comput. Stat. Data Anal..

Likelihood‐based inference for spatiotemporal data with censored and missing responses

Larissa A. Matos, Katherine A. L. Valeriano, Marcos O. Prates, 2020, Environmetrics.

Inference and diagnostics for heteroscedastic nonlinear regression models under skew scale mixtures of normal distributions

Aldo M. Garay, V. H. Lachos, Clécio da Silva Ferreira, 2019, Journal of applied statistics.

Heavy tailed calibration model with Berkson measurement errors for replicated data

H. Bolfarine, V. H. Lachos, Betsabé Blas, 2016 .

Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution

Victor H. Lachos, Dipankar Bandyopadhyay, Larissa A. Matos, 2015, J. Multivar. Anal..

Inference and diagnostics in skew scale mixtures of normal regression models

H. Bolfarine, V. H. Lachos, C. S. Ferreira, 2015 .

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

V. H. Lachos, D. Bandyopadhyay, L. M. Castro, 2015, Journal of Agricultural, Biological, and Environmental Statistics.

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

Victor H. Lachos, Dipankar Bandyopadhyay, Luis M. Castro, 2015 .

Estimation methods for multivariate Tobit confirmatory factor analysis

Caio L. N. Azevedo, Victor H. Lachos, Denise Reis Costa, 2014, Comput. Stat. Data Anal..

Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions

Aldo M. Garay, V. H. Lachos, E. Ortega, 2014 .

Bayesian inference in nonlinear mixed-effects models using normal independent distributions

Dipak K. Dey, Victor H. Lachos, Luis Mauricio Castro, 2013, Comput. Stat. Data Anal..

Influence diagnostics in linear and nonlinear mixed-effects models with censored data

Narayanaswamy Balakrishnan, Victor H. Lachos, Larissa A. Matos, 2013, Comput. Stat. Data Anal..

On estimation and local influence analysis for measurement errors models under heavy-tailed distributions

V. H. Lachos, C. A. Abanto-Valle, T. Angolini, 2011 .

Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions.

Aldo M. Garay, V. H. Lachos, D. Bandyopadhyay, 2011, Statistics & probability letters.

Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2011, Comput. Stat. Data Anal..

Influence Diagnostics for a Skew Extension of the Grubbs Measurement Error Model

Heleno Bolfarine, Victor H. Lachos, Lourdes C. Montenegro, 2009, Commun. Stat. Simul. Comput..

Inference and local influence assessment in skew-normal null intercept measurement error model

H. Bolfarine, V. H. Lachos, L. C. Montenegro, 2008 .

Influence diagnostics for the Grubbs's model

Victor H. Lachos, Manuel Galea, Filidor Vilca, 2007 .

Likelihood-based inference for the multivariate skew-t regression with censored or missing responses

C. E. Galarza, Katherine A. L. Valeriano, V. H. Lachos, 2023, Journal of Multivariate Analysis.

An EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses

C. E. Galarza, V. H. Lachos, L. A. Matos, 2022, METRON.

Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution

Victor H. Lachos, Luis M. Castro, C. E. Galarza, 2020, J. Multivar. Anal..

On moments of folded and truncated multivariate Student-t distributions based on recurrence relations

C. E. Galarza, V. H. Lachos, Tsung-I Lin, 2021 .

Censored linear regression models for irregularly observed longitudinal data using the multivariate-t distribution

Aldo M. Garay, V. H. Lachos, L. M. Castro, 2017, Statistical methods in medical research.

Likelihood-based Inference For Mixed-effects Models With Censored Response Using The Multivariate-t Distribution

Ming-Hui Chen, V. H. Lachos, M. Prates, 2013 .

Multivariate mixture modeling using skew-normal independent distributions

Victor H. Lachos, Celso Rômulo Barbosa Cabral, Marcos Oliveira Prates, 2012, Comput. Stat. Data Anal..

LIKELIHOOD BASED INFERENCE FOR SKEW-NORMAL INDEPENDENT LINEAR MIXED MODELS

R. Arellano-Valle, V. H. Lachos, Pulak Ghosh, 2010 .

Extending multivariate-t linear mixed models for multiple longitudinal data with censored responses and heavy tails

V. H. Lachos, Tsung-I Lin, Wan-Lun Wang, 2018, Statistical methods in medical research.

Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads

V. H. Lachos, L. M. Castro, L. A. Matos, 2016 .

A Bayesian approach to term structure modeling using heavy-tailed distributions

V. H. Lachos, Pulak Ghosh, C. A. Abanto-Valle, 2012 .

Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions

Victor H. Lachos, Carlos A. Abanto-Valle, Debiprasad Bandyopadhyay, 2010, Comput. Stat. Data Anal..

A finite mixture mixed proportion regression model for classification problems in longitudinal voting data

D. Dey, V. H. Lachos, R. D. da Paz, 2021, Journal of applied statistics.

Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads

V. H. Lachos, L. M. Castro, L. A. Matos, 2016, TEST.

Comparisons of zero‐augmented continuous regression models from a Bayesian perspective

D. Dey, V. H. Lachos, Xiaojing Wang, 2020, Statistics in medicine.

Objective Bayesian analysis for geostatistical Student-t processes

V. H. Lachos, M. Prates, L. A. Matos, 2023, Journal of Spatial Science.

Finite mixture of regression models for censored data based on scale mixtures of normal distributions

Victor H. Lachos, Celso Rômulo Barbosa Cabral, Camila Borelli Zeller, 2018, Advances in Data Analysis and Classification.

Linear censored regression models with scale mixtures of normal distributions

Aldo M. Garay, H. Bolfarine, V. H. Lachos, 2017 .

Multidimensional multiple group IRT models with skew normal latent trait distributions

Juan L. Padilla, Caio L. N. Azevedo, Victor H. Lachos, 2018, J. Multivar. Anal..

Influence diagnostics for Grubbs’s model with asymmetric heavy-tailed distributions

V. H. Lachos, C. B. Zeller, F. V. Labra, 2014 .

Multivariate measurement error models using finite mixtures of skew-Student t distributions

Victor H. Lachos, Celso Rômulo Barbosa Cabral, Camila Borelli Zeller, 2014, J. Multivar. Anal..

Fast inference for robust nonlinear mixed-effects models

V. H. Lachos, Reiko Aoki, G. Paula, 2022, Journal of applied statistics.

Approximate Inferences for Nonlinear Mixed Effects Models with Scale Mixtures of Skew-Normal Distributions

D. Dey, V. H. Lachos, Fernanda Lang Schumacher, 2020, Journal of Statistical Theory and Practice.

Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-t distribution

V. H. Lachos, M. Prates, L. M. Castro, 2014, Statistics and Computing.

Skew scale mixtures of normal distributions: Properties and estimation

H. Bolfarine, V. H. Lachos, C. S. Ferreira, 2011 .

A semiparametric mixed-effects model for censored longitudinal data

V. H. Lachos, T. B. Mattos, Larissa Avila Matos, 2021, Statistical methods in medical research.

A nonlinear regression model with skew-normal errors

V. H. Lachos, V. Cancho, E. Ortega, 2010 .

Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions

C. E. Galarza, V. H. Lachos, L. A. Matos, 2018 .

Likelihood-based inference for multivariate skew scale mixtures of normal distributions

H. Bolfarine, V. H. Lachos, C. S. Ferreira, 2016 .

Robust linear mixed models with skew-normal independent distributions from a Bayesian perspective

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2009 .

Flexible regression modeling for censored data based on mixtures of student-t distributions

Dipak K. Dey, Celso Rômulo Barbosa Cabral, Marcos O. Prates, 2018, Comput. Stat..

Stock return volatility , heavy tails , skewness and trading volume : A Bayesian approach

D. Dey, V. H. Lachos, C. A. Abanto-Valle, 2012 .

Objective Bayesian analysis for spatial Student-t regression models

V. H. Lachos, M. Prates, L. A. Matos, 2020, 2004.04341.

Bayesian modeling of censored partial linear models using scale-mixtures of normal distributions

R. Arellano-Valle, V. H. Lachos, L. M. Castro, 2012 .

Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution

V. H. Lachos, M. Galea, M. Prates, 2023, Stat.

The use of the EM algorithm for regularization problems in high-dimensional linear mixed-effects models

V. H. Lachos, Fernanda Lang Schumacher, Daniela C. R. Oliveira, 2023, 2308.01518.

Skew binary regression with measurement errors

H. Bolfarine, V. H. Lachos, 2006 .

Skew normal measurement error models

Heleno Bolfarine, Victor H. Lachos, Reinaldo B. Arellano-Valle, 2005 .

Spatial skew‐normal/independent models for nonrandomly missing clustered data

V. H. Lachos, D. Bandyopadhyay, M. Prates, 2021, Statistics in medicine.

Linear and Nonlinear Mixed‐Effects Models for Censored HIV Viral Loads Using Normal/Independent Distributions

Dipankar Bandyopadhyay, Victor H Lachos, Dipak K Dey, 2011, Biometrics.