35 citations · 40 across the 4 of their papers we have counts for
4 papers
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…
Finite sample properties of the Buckland-Burnham-Augustin confidence interval centered on a model averaged estimator
Paul Kabaila, Alan H. Welsh, Christeen Wijethunga
We consider the confidence interval centered on a frequentist model averaged estimator that was proposed by Buckland, Burnham & Augustin (1997). In the context of a simple testbed…
Bootstrapping F test for testing Random Effects in Linear Mixed Models
P. Y. O'Shaughnessy, Francis Hui, Samuel Muller +1
Recently Hui et al. (2018) use F tests for testing a subset of random effect, demonstrating its computational simplicity and exactness when the first two moment of the random effec…
Fletcher-Turek Model Averaged Profile Likelihood Confidence Intervals
Paul Kabaila, A. H. Welsh, Waruni Abeysekera
We evaluate the model averaged profile likelihood confidence intervals proposed by Fletcher and Turek (2011) in a simple situation in which there are two linear regression models o…