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A skew-t quantile regression for censored and missing data
ArticleAbstract: Quantile regression has emerged as an important analytical alternative to the classical mean regressPalabras claves:Autores:Bourguignon M., Christian Galarza Morales, Lachos V.H.Fuentes:googlescopusAn EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses
ArticleAbstract: Limited or censored data are collected in many studies. This occurs for many reasons in several pracPalabras claves:Censored dataa, EM algorithm, Extended skew-normal distribution, Truncated distributionsAutores:Christian Galarza Morales, Lachos V.H., Matos L.A.Fuentes:googlescopusEstimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions
ArticleAbstract: In many studies, limited or censored data are collected. This occurs, in several practical situationPalabras claves:Censored regression model, EMtype algorithm, Local influence, Partially linear models, scale mixtures of normal distributionsAutores:Christian Galarza Morales, Lachos V.H., Lemus M.N., Matos L.A.Fuentes:googlescopusMoments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution
ArticleAbstract: In this paper, we compute doubly truncated moments for the selection elliptical class of distributioPalabras claves:Elliptical distributions, Selection distributions, Truncated distributions, Truncated momentsAutores:Castro L.M., Christian Galarza Morales, Lachos V.H., Matos L.A.Fuentes:googlescopusOn moments of folded and truncated multivariate Student-t distributions based on recurrence relations
ArticleAbstract: The use of the first two moments of the truncated multivariate Student-t distribution has attractedPalabras claves:EM algorithm, Folded multivariate Student-t distribution, Product moments, Truncated multivariate normal distribution, Truncated multivariate Student-t distributionAutores:Christian Galarza Morales, Lachos V.H., Lin T.I., Wang W.L.Fuentes:googlescopusLogistic Quantile Regression for Bounded Outcomes Using a Family of Heavy-Tailed Distributions
ArticleAbstract: Mean regression model could be inadequate if the probability distribution of the observed responsesPalabras claves:Bounded outcomes, EM algorithm, Primary 62M10, Quantile regression model, scale mixtures of normal distributions, Secondary 62E10Autores:Christian Galarza Morales, Lachos V.H., Zhang P.Fuentes:googlescopusQuantile regression for nonlinear mixed effects models: a likelihood based perspective
ArticleAbstract: Longitudinal data are frequently analyzed using normal mixed effects models. Moreover, the traditionPalabras claves:Asymmetric Laplace distribution, Nonlinear mixed effects models, Quantile regression, SAEM algorithmAutores:Castro L.M., Christian Galarza Morales, Lachos V.H., Louzada F.Fuentes:googlescopusQuantile regression in linear mixed models: A stochastic approximation EM approach
ArticleAbstract: This paper develops a likelihood-based approach to analyze quantile regression (QR) models for contiPalabras claves:Asymmetric Laplace distribution, Linear mixed-effects models, Quantile regression, SAEM algorithmAutores:Bandyopadhyay D., Christian Galarza Morales, Lachos V.H.Fuentes:googlescopus