1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024
A Semiparametric Approach to Causal Inference
Archer Gong Zhang, Nancy Reid, Qiang Sun
In causal inference, an important problem is to quantify the effects of interventions or treatments. Many studies focus on estimating the mean causal effects; however, these estima…
math.ST2023
Gaussian variational approximation with composite likelihood for crossed random effect models
Libai Xu, Nancy Reid, Dehan Kong
Composite likelihood usually ignores dependencies among response components, while variational approximation to likelihood ignores dependencies among parameter components. We deriv…
math.ST2016★ 1 cited
Note on information bias and efficiency of composite likelihood
Ximing Xu, Nancy Reid, Libai Xu
Does the asymptotic variance of the maximum composite likelihood estimator of a parameter of interest always decrease when the nuisance parameters are known? Will a composite likel…