Pages that link to "Item:Q2397123"

The following pages link to Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model (Q2397123):

Displaying 8 items.

• High-dimensional regression with Gaussian mixtures and partially-latent response variables (Q261018) (← links)
• Dimensionally reduced mixtures of regression models (Q629103) (← links)
• A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models (Q2084460) (← links)
• On the choice of high-dimensional regression parameters in Gaussian random tomography (Q2211069) (← links)
• Model-based regression clustering for high-dimensional data: application to functional data (Q2418303) (← links)
• Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables (Q2666059) (← links)
• Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space (Q3303656) (← links)
• Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data (Q6068650) (← links)