3 papers
stat.ME2024
Sample Empirical Likelihood Methods for Causal Inference
Jingyue Huang, Changbao Wu, Leilei Zeng
Causal inference is crucial for understanding the true impact of interventions, policies, or actions, enabling informed decision-making and providing insights into the underlying m…
stat.ME2024
Pseudo-Empirical Likelihood Methods for Causal Inference
Jingyue Huang, Changbao Wu, Leilei Zeng
Causal inference problems have remained an important research topic over the past several decades due to their general applicability in assessing a treatment effect in many differe…
stat.ME2023
Augmented two-step estimating equations with nuisance functionals and complex survey data
Puying Zhao, Changbao Wu
Statistical inference in the presence of nuisance functionals with complex survey data is an important topic in social and economic studies. The Gini index, Lorenz curves and quant…