2 papers
stat.ME2026
BAMIFun: Bayesian Multiple Imputation for Functional Data
Ziren Jiang, Lei Xuan, Eric F. Lock +1
Missing data are pervasive in modern functional datasets, where trajectories are often sparsely or irregularly observed. Although Functional Principal Component Analysis (FPCA) is…
stat.ME2024
BAMITA: Bayesian Multiple Imputation for Tensor Arrays
Ziren Jiang, Gen Li, Eric F. Lock
Data increasingly take the form of a multi-way array, or tensor, in several biomedical domains. Such tensors are often incompletely observed. For example, we are motivated by longi…