Search Results - "Lachos, Victor. H."

On moments of folded and truncated multivariate Student-t distributions based on recurrence relations by Galarza, Christian E., Lin, Tsung-I, Wang, Wan-Lun, Lachos, Víctor H.

“…The use of the first two moments of the truncated multivariate Student-t distribution has attracted increasing attention from a wide range of applications…”
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Robust mixture modeling based on scale mixtures of skew-normal distributions by Basso, Rodrigo M., Lachos, Víctor H., Cabral, Celso Rômulo Barbosa, Ghosh, Pulak

“…A flexible class of probability distributions, convenient for modeling data with skewness behavior, discrepant observations and population heterogeneity is…”
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On estimation and influence diagnostics for zero-inflated negative binomial regression models by Garay, Aldo M., Hashimoto, Elizabeth M., Ortega, Edwin M.M., Lachos, Víctor H.

“…The zero-inflated negative binomial model is used to account for overdispersion detected in data that are initially analyzed under the zero-inflated Poisson…”
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A mixed-effect model for positive responses augmented by zeros by Rodrigues-Motta, Mariana, Galvis Soto, Diana Milena, Lachos, Victor H., Vilca, Filidor, Baltar, Valéria Troncoso, Junior, Eliseu Verly, Fisberg, Regina Mara, Lobo Marchioni, Dirce Maria

“…In this research article, we propose a class of models for positive and zero responses by means of a zero‐augmented mixed regression model. Under this class,…”
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Statistical analysis of controlled calibration model with replicates by Blas, Betsabé, Bolfarine, Heleno, Lachos, Victor. H.

“…In this work, we generalize the controlled calibration model by assuming replication on both variables. Likelihood-based methodology is used to estimate the…”
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Comparisons of zero‐augmented continuous regression models from a Bayesian perspective by Ye, Tairan, Lachos, Victor H., Wang, Xiaojing, Dey, Dipak K.

“…Summary The two‐part model and the Tweedie model are two essential methods to analyze the positive continuous and zero‐augmented responses. Compared with other…”
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Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence by Schumacher, Fernanda L., Lachos, Victor H., Matos, Larissa A.

“…In longitudinal studies, repeated measures are collected over time and hence they tend to be serially correlated. These studies are commonly analyzed using…”
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Spatial skew‐normal/independent models for nonrandomly missing clustered data by Bandyopadhyay, Dipankar, Prates, Marcos O., Zhao, Xiaoyue, Lachos, Victor H.

“…Clinical studies on periodontal disease (PD) often lead to data collected which are clustered in nature (viz. clinical attachment level, or CAL, measured at…”
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Finite mixture of regression models for censored data based on the skew-t distribution by Park, Jiwon, Dey, Dipak K., Lachos, Víctor H.

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Augmented mixed beta regression models for periodontal proportion data by Galvis, Diana M., Bandyopadhyay, Dipankar, Lachos, Victor H.

“…Continuous (clustered) proportion data often arise in various domains of medicine and public health where the response variable of interest is a proportion (or…”
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Extending multivariate Student's‐t$$ t $$ semiparametric mixed models for longitudinal data with censored responses and heavy tails by Mattos, Thalita B., Lachos, Victor H., Castro, Luis M., Matos, Larissa A.

“…This article extends the semiparametric mixed model for longitudinal censored data with Gaussian errors by considering the Student's t$$ t $$‐distribution…”
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Extending multivariate-t linear mixed models for multiple longitudinal data with censored responses and heavy tails by Wang, Wan-Lun, Lin, Tsung-I, Lachos, Victor H

“…The analysis of complex longitudinal data is challenging due to several inherent features: (i) more than one series of responses are repeatedly collected on…”
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Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions by Mattos, Thalita do Bem, Garay, Aldo M., Lachos, Victor H.

“…In many studies, the data collected are subject to some upper and lower detection limits. Hence, the responses are either left or right censored. A…”
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Multivariate longitudinal data analysis with censored and intermittent missing responses by Lin, Tsung‐I, Lachos, Victor H., Wang, Wan‐Lun

“…The multivariate linear mixed model (MLMM) has emerged as an important analytical tool for longitudinal data with multiple outcomes. However, the analysis of…”
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On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions by Morales, Christian E. Galarza, Matos, Larissa A., Dey, Dipak K., Lachos, Victor H.

“…This article develops recurrence relations for integrals that relate the density of multivariate extended skew-normal (ESN) distribution, including the…”
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Bayesian analysis of linear regression models with autoregressive symmetrical errors and incomplete data by M. Garay, Aldo, L. Medina, Francyelle, Torres de Freitas, Suelem, H. Lachos, Víctor

“…Observations collected over time are often autocorrelated rather than independent, and sometimes include incomplete information, for example censored values…”
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Linear and Nonlinear Mixed‐Effects Models for Censored HIV Viral Loads Using Normal/Independent Distributions by Lachos, Victor H., Bandyopadhyay, Dipankar, Dey, Dipak K.

“…HIV RNA viral load measures are often subjected to some upper and lower detection limits depending on the quantification assays. Hence, the responses are…”
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A semiparametric mixed-effects model for censored longitudinal data by Mattos, Thalita B, Avila Matos, Larissa, Lachos, Victor H

“…In longitudinal studies involving laboratory-based outcomes, repeated measurements can be censored due to assay detection limits. Linear mixed-effects (LMEs)…”
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Linear mixed models based on skew scale mixtures of normal distributions by Ferreira, Clécio S., Bolfarine, Heleno, Lachos, Víctor H.

“…Scale mixtures of normal distributions are useful for statistical procedures involving symmetric and heavy-tailed data. Ferreira, Lachos, and Bolfarine ( 2016…”
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Penalized complexity priors for the skewness parameter of power links by Ordoñez, José A., Prates, Marcos O., Bazán, Jorge L., Lachos, Victor H.

“…The choice of a prior distribution is a key aspect of the Bayesian method. However, in many cases, such as the family of power links, this is not trivial. In…”
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