activity
20072021
most citedModel Selection in Linear Mixed Models

341 citations · 405 across the 8 of their papers we have counts for

collaborators

8 papers

math.ST2021★ 3 cited

Increasing Cluster Size Asymptotics for Nested Error Regression Models

Ziyang Lyu, A. H. Welsh

This paper establishes asymptotic results for the maximum likelihood and restricted maximum likelihood (REML) estimators of the parameters in the nested error regression model for…

stat.ME2019

An Imputation model by Dirichlet Process Mixture of Elliptical Copulas for Data of Mixed Type

Jiali Wang, Anton Westveld, Bronwyn Loong +1

Copula-based methods provide a flexible approach to build missing data imputation models of multivariate data of mixed types. However, the choice of copula function is an open ques…

stat.ME2017★ 5 cited

A Copula-based Imputation Model for Missing Data of Mixed Type in Multilevel Data Sets

Jiali Wang, Bronwyn Loong, Anton H. Westveld +1

We propose a copula based method to handle missing values in multivariate data of mixed types in multilevel data sets. Building upon the extended rank likelihood of \cite{hoff2007e…

stat.ME2015★ 18 cited

The Performance of the Turek-Fletcher Model Averaged Confidence Interval

Paul Kabaila, Alan H. Welsh, Rheanna Mainzer

We consider the model averaged tail area (MATA) confidence interval proposed by Turek and Fletcher, CSDA, 2012, in the simple situation in which we average over two nested linear r…

stat.ME2015★ 14 cited

mplot: An R Package for Graphical Model Stability and Variable Selection Procedures

Garth Tarr, Samuel Müller, Alan Welsh

The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the a…

stat.ME2014

Discussion of "Search for the Wreckage of Air France Flight AF 447"

A. H. Welsh

Discussion of "Search for the Wreckage of Air France Flight AF 447" by Lawrence D. Stone, Colleen M. Keller, Thomas M. Kratzke, Johan P. Strumpfer [arXiv:1405.4720].