most citedExtending Growth Mixture Models Using Continuous Non-Elliptical Distributions

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

stat.ME2017★ 7 cited

Extending Growth Mixture Models Using Continuous Non-Elliptical Distributions

Yuhong Wei, Yang Tang, Emilie Shireman +2

Growth mixture models (GMMs) incorporate both conventional random effects growth modeling and latent trajectory classes as in finite mixture modeling; therefore, they offer a way t…