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stat.ME2025
Multi-source Learning for Target Population by High-dimensional Calibration
Haoxiang Zhan, Jae Kwang Kim, Yumou Qiu
Multi-source learning is an emerging area of research in statistics, where information from multiple datasets with heterogeneous distributions is combined to estimate the parameter…
stat.ME2025
A General Approach for Calibration Weighting under Missing at Random
Yonghyun Kwon, Jae Kwang Kim, Yumou Qiu
We propose a unified class of calibration weighting methods based on weighted generalized entropy to handle missing at random (MAR) data with improved stability and efficiency. The…