Preprint
Sep 2026
Component-weighted sparse group LASSO for finite mixture regression models
When analyzing heterogeneous data with latent subpopulations, finite mixture regression (FMR) models are effective as they allow for variations in regression coefficients across mixture components. Variable selection is important at two levels: (1) at the group level by removing completely irrelevant covariates across...
Vinay Joshy, Zeny Feng, Grace Stelter et al.
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