4 papers · 1 filter
Pattern-Calibrated Multimodal Prediction under Blockwise Missingness
Junhan Yu, Kejian Zhang, Doudou Zhou +1
Blockwise missingness in multimodal data is usually treated as an incomplete-input problem. We instead focus on prediction for a prespecified observed-modality pattern, where the o…
Preference-based Centrality and Ranking in General Metric Spaces
Lingfeng Lyu, Doudou Zhou
Ranking or assessing centrality in multivariate and non-Euclidean data is difficult because there is no canonical order and many depth notions become computationally fragile in hig…
Two-sample Testing with Block-wise Missingness in Multi-source Data
Kejian Zhang, Muxuan Liang, Robert Maile +1
Multi-source and multi-modal datasets are increasingly common in scientific research, yet they often exhibit block-wise missingness, where entire modalities are systematically abse…
MATES: Multi-view Aggregated Two-Sample Test
Zexi Cai, Wenbo Fei, Doudou Zhou
The two-sample test is a fundamental problem in statistics with a wide range of applications. In the realm of high-dimensional data, nonparametric methods have gained prominence du…