4 papers · 1 filter
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang +4
Conditional independence (CI) testing is a fundamental task in modern statistics and machine learning. The conditional randomization test (CRT) was recently introduced to test whet…
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph
Zhaoyang Zhang, Hongtu Zhu, Ziqi Chen +2
In this paper, we aim to address a significant challenge in the field of missing data imputation: identifying and leveraging the interdependencies among features to enhance missing…
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data
Hai Shu
A typical approach to the joint analysis of multiple high-dimensional data views is to decompose each view's data matrix into three parts: a low-rank common-source matrix generated…
Nodewise Loreg: Nodewise -penalized Regression for High-dimensional Sparse Precision Matrix Estimation
Hai Shu, Ziqi Chen, Yingjie Zhang +1
We propose Nodewise Loreg, a nodewise -penalized regression method for estimating high-dimensional sparse precision matrices. We establish its asymptotic properties, including…