Pages that link to "Item:Q2397337"
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The following pages link to New variable selection for linear mixed-effects models (Q2397337):
Displaying 21 items.
- Conditional and unconditional methods for selecting variables in linear mixed models (Q631631) (← links)
- Variable selection for linear mixed models with applications in small area estimation (Q904301) (← links)
- Fixed-effect variable selection in linear mixed models using \(R^2\) statistics (Q1023519) (← links)
- Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm (Q1623713) (← links)
- A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure (Q1662050) (← links)
- A random-effect model approach for group variable selection (Q1663264) (← links)
- Covariate screening in mixed linear models (Q1817495) (← links)
- Bayesian variable selection for logistic mixed model with nonparametric random effects (Q1927042) (← links)
- Fixed and random effects selection in nonparametric additive mixed models (Q1950841) (← links)
- Bayesian variable selection for mixed effects model with shrinkage prior (Q2184407) (← links)
- Model selection in linear mixed-effect models (Q2234730) (← links)
- Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects (Q2316730) (← links)
- A new sparse variable selection via random-effect model (Q2637604) (← links)
- Variable selection in linear mixed models using an extended class of penalties (Q2802814) (← links)
- Simultaneous fixed and random effects selection in finite mixture of linear mixed-effects models (Q2870711) (← links)
- Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models (Q3076036) (← links)
- Random Effects Selection in Linear Mixed Models (Q3433200) (← links)
- A simultaneous variable selection methodology for linear mixed models (Q4960766) (← links)
- Variable selection in elliptical linear mixed model (Q5861406) (← links)
- Clustering high dimension, low sample size data using the maximal data piling distance (Q5894806) (← links)
- Subset Selection for Linear Mixed Models (Q6055757) (← links)
