Publications & Software

Publications and Preprints

• Young, E. H. and Bühlmann, P. (2025), Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift, Preprint, arXiv:2503.12634.
• Young, E. H. and Shah, R. D. (2024), ROSE Random Forests for Robust Semiparametric Efficient Estimation, Preprint, arXiv:2410.03471.
• Young, E. H. and Shah, R. D. (2024), Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data, J. Roy. Statist. Soc., Ser. B., 86(5) 1286–1311. (arXiv)

Thesis

• Young, E. H. (2024), Modern Methods in Semiparametric Statistics.

Software

• corrRF for fitting clustered random forests for optimal prediction and inference of clustered data.
• roseRF for robust semiparametric efficient (ROSE) random forest estimators.
• sandwich.boosting for sandwich boosting in the grouped partially linear model.