Regularized joint mixture models couple sparse covariance estimation with sparse regression within an EM framework, improving subgroup recovery and variable selection when latent groups affect both features and outcome.
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Regularized joint mixture models
Regularized joint mixture models couple sparse covariance estimation with sparse regression within an EM framework, improving subgroup recovery and variable selection when latent groups affect both features and outcome.