111 citations · 147 across the 6 of their papers we have counts for
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stat.ME2016★ 5 cited
Estimation and Inference for Very Large Linear Mixed Effects Models
K. Gao, A. B. Owen
Linear mixed models with large imbalanced crossed random effects structures pose severe computational problems for maximum likelihood estimation and for Bayesian analysis. The cost…
stat.AP2016
Confidence Intervals for Algorithmic Leveraging in Linear Regression
Katelyn Gao
The age of big data has produced data sets that are computationally expensive to analyze and store. Algorithmic leveraging proposes that we sample observations from the original da…
stat.ME2016★ 21 cited
Efficient moment calculations for variance components in large unbalanced crossed random effects models
Katelyn Gao, Art B. Owen
Large crossed data sets, described by generalized linear mixed models, have become increasingly common and provide challenges for statistical analysis. At very large sizes it becom…