5 papers
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…
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…
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…
Joint Mean and Correlation Regression Models for Multivariate Data
Zhi Yang Tho, Francis K. C. Hui, Tao Zou
We propose a joint mean and correlation regression model for multivariate discrete and (semi-)continuous response data, that simultaneously regresses the mean of each response agai…
An Ising Similarity Regression Model for Modeling Multivariate Binary Data
Zhi Yang Tho, Francis K. C. Hui, Tao Zou
Understanding the dependence structure between response variables is an important component in the analysis of correlated multivariate data. This article focuses on modeling depend…