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The impact of covariance misspecification in multivariate Gaussian mixtures on estimation and inference: an application to longitudinal modeling

Multivariate Gaussian mixtures are a class of models that provide a flexible parametric approach for the representation of heterogeneous multivariate outcomes. When the outcome is a vector of repeated measurements taken on the same subject, there is often inherent dependence between observations. Ho...

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מידע ביבליוגרפי
Main Authors: Heggeseth, Brianna C., Jewell, Nicholas P.
פורמט: Artigo
שפה:Inglês
יצא לאור: 2013
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC4130662/
https://ncbi.nlm.nih.gov/pubmed/23296542
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5729
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