2 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…