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An 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: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:googlescopusLikelihood-based inference for the multivariate skew-t regression with censored or missing responses
ArticleAbstract: Skew-t regression models have been widely used to model and analyze asymmetric heavy-tailed data. MoPalabras claves:Censored data, EM algorithm, Extended skew-t distribution, Missing observations, Truncated distributionsAutores:Christian Galarza Morales, Katherine AL Valeriano, Lachos V.H., Matos L.A., Valeriano K.A.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:googlescopusRobust quantile regression using a generalized class of skewed distributions
ArticleAbstract: It is well known that the widely popular mean regression model could be inadequate if the probabilitPalabras claves:EM algorithm, Quantile regression model, scale mixtures of normal distributionsAutores:Barbosa Cabral C., Castro Cepero L., Christian Galarza Morales, Lachos Davila V.Fuentes:googlescopus