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stat.ME2026
Component-weighted sparse group LASSO for finite mixture regression models
Vinay Joshy, Zeny Feng, Grace Stelter +2
When analyzing heterogeneous data with latent subpopulations, finite mixture regression (FMR) models are effective as they allow for variations in regression coefficients across mi…
stat.ME2025
Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
Alysha Cooper, Zeny Feng, Ayesha Ali +2
Identifying relevant factors that influence the multinomial counts in compositional data is difficult in high dimensional settings due to the complex associations and overdispersio…