3 papers
stat.ML2026
Analytical and Bootstrap Confidence Intervals for Double Machine Learning: Simulation Studies and an Application to Rural-Urban Differences 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,…
q-bio.QM2024
Recent advances in deep learning and language models for studying the microbiome
Binghao Yan, Yunbi Nam, Lingyao Li +3
Recent advancements in deep learning, particularly large language models (LLMs), made a significant impact on how researchers study microbiome and metagenomics data. Microbial prot…