Cross-Cluster Weighted Forests

Documenti analoghi

• Merging versus Ensembling in Multi-Study Prediction: Theoretical Insight from Random Effects
  di: Guan, Zoe, et al.
  Pubblicazione: (2019)
• Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
  di: McGrath, Sean, et al.
  Pubblicazione: (2022)
• Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
  di: Shyr, Cathy, et al.
  Pubblicazione: (2023)
• Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
  di: Chen, Xingyu, et al.
  Pubblicazione: (2024)
• Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
  di: Barnatchez, Keith, et al.
  Pubblicazione: (2026)