A tree-ensemble framework (LRF) estimates and predicts whole response trajectories from sparse, irregular longitudinal data using PACE or adaptive linear mixed models as node-wise smoothers.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Longitudinal Random Forests for Sparse and Irregular Response Trajectories
A tree-ensemble framework (LRF) estimates and predicts whole response trajectories from sparse, irregular longitudinal data using PACE or adaptive linear mixed models as node-wise smoothers.