Pages that link to "Item:Q631554"
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The following pages link to Mixed effects regression trees for clustered data (Q631554):
Displaying 20 items.
- RE-EM trees: a data mining approach for longitudinal and clustered data (Q131629) (← links)
- Tree-Structured Clustering in Fixed Effects Models (Q137408) (← links)
- Generalised Linear Model Trees with Global Additive Effects (Q137903) (← links)
- Multivariate trees for mixed outcomes (Q961861) (← links)
- Unbiased regression trees for longitudinal and clustered data (Q1663279) (← links)
- Tree-based varying coefficient regression for longitudinal ordinal responses (Q1663330) (← links)
- A prediction-driven mixture cure model and its application in credit scoring (Q1735161) (← links)
- A Lasso and a regression tree mixed-effect model with random effects for the level, the residual variance, and the autocorrelation (Q2152403) (← links)
- Generalized mixed effects regression trees (Q2405928) (← links)
- Regression tree-based diagnostics for linear multilevel models (Q4970829) (← links)
- Grouped Heterogeneous Mixture Modeling for Clustered Data (Q4999176) (← links)
- On missing random effects in machine learning (Q5055126) (← links)
- BiMM tree: a decision tree method for modeling clustered and longitudinal binary outcomes (Q5088020) (← links)
- Mixed-effects random forest for clustered data (Q5219991) (← links)
- Grouped Generalized Estimating Equations for Longitudinal Data Analysis (Q6055758) (← links)
- Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia (Q6094218) (← links)
- Mixed-effect models with trees (Q6106172) (← links)
- Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification (Q6109187) (← links)
- A regression tree method for longitudinal and clustered data with multivariate responses (Q6564305) (← links)
- Time-penalised trees (\texttt{TpT}): introducing a new tree-based data mining algorithm for time-varying covariates (Q6661058) (← links)