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stat.ME2026
An association measure for mixed-type variables
Yongjae Kim, Haeun Moon, Sungkyu Jung
Quantifying the association between a real-valued variable and a categorical variable is a fundamental task in data analysis. Existing methods often rely on parametric assumptions…
stat.ME2024
Least Squares Inference for Data with Network Dependency
Jing Lei, Kehui Chen, Haeun Moon
We address the inference problem concerning regression coefficients in a classical linear regression model using least squares estimates. The analysis is conducted under circumstan…
stat.ME2024
Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
Haeun Moon, Jin-Hong Du, Jing Lei +1
Quantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such…