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Found 2 papers, 1 papers with code
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project
Further, our analyses reveal that across all 15 data-subsets tested, an Extra Trees regression approach provided the best global results.
Variational Mixture Models with Gamma or inverse-Gamma components
Mixture models with Gamma and or inverse-Gamma distributed mixture components are useful for medical image tissue segmentation or as post-hoc models for regression coefficients obtained from linear regression within a Generalised Linear Modeling framework (GLM), used in this case to separate stochastic (Gaussian) noise from some kind of positive or negative "activation" (modeled as Gamma or inverse-Gamma distributed).
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