2 papers
stat.ML2026
Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence
Haozheng Xu, Siyuan Ma, Qingyan Xiang
Double Machine Learning (DML) is a popular approach for treatment effect estimation in various settings, which allows a wide range of flexible machine learning methods to be used f…
stat.ME2024
Compositional Covariate Importance Testing via Partial Conjunction of Bivariate Hypotheses
Ritwik Bhaduri, Siyuan Ma, Lucas Janson
Compositional data (i.e., data comprising random variables that sum up to a constant) arises in many applications including microbiome studies, chemical ecology, political science,…