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

Skew-t regression models have been widely used to model and analyze asymmetric heavy-tailed data. Moreover, observations in this kind of data can be missing or subject to some upper and/or lower detection limits because of the restriction of the experimental apparatus. We propose a novel robust regr...

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Bibliographic Details
Published inJournal of multivariate analysis Vol. 196; p. 105174
Main Authors Valeriano, Katherine A.L., Galarza, Christian E., Matos, Larissa A., Lachos, Victor H.
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.07.2023
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