3 papers
stat.ME2026
Bias-Adjusted Attribution Estimation for Rainfall Enhancement Trials
Zhi Yang Tho, Raymond Chambers, A. H. Welsh
Model-based analyses of rainfall enhancement trial data typically involve modelling log-transformed rainfall using linear mixed models to assess the effectiveness of enhancement me…
stat.ML2025
Gradient Boosted Mixed Models: Flexible Estimation of Mean and Variance Components for Clustered Data
Mitchell L. Prevett, Francis K. C. Hui, Zhi Yang Tho +2
We introduce a novel way to combine gradient boosting with mixed effects models, whereby the mean and variance components are learned jointly as functions of covariates via likelih…
stat.ME2025
A Proportional Random Effect Block Bootstrap for General Clustered Data
Zhi Yang Tho, Raymond Chambers, A. H. Welsh
Clustered data arise naturally in many scientific and applied research settings where units are grouped within clusters. Such data are commonly analyzed using linear mixed models t…