Pages that link to "Item:Q1663279"
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The following pages link to Unbiased regression trees for longitudinal and clustered data (Q1663279):
Displaying 11 items.
- RE-EM trees: a data mining approach for longitudinal and clustered data (Q131629) (← links)
- Mixed effects regression trees for clustered data (Q631554) (← links)
- Analysis of web visit histories. II: Predicting navigation by nested STUMP regression trees (Q1695100) (← 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)
- On missing random effects in machine learning (Q5055126) (← 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)
- Hybrid statistical and machine learning modeling of cognitive neuroscience data (Q6571996) (← links)
- Time-penalised trees (\texttt{TpT}): introducing a new tree-based data mining algorithm for time-varying covariates (Q6661058) (← links)
