Online missing value imputation for high-dimensional mixed-type data via generalized factor models

Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies

(2022) Tsung‐I Lin et al.   BIOMETRICAL JOURNAL

Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

(2021) Kristen R. Maynard et al.   NATURE NEUROSCIENCE

On factor models with random missing: EM estimation, inference, and cross validation

(2020) Sainan Jin et al.   JOURNAL OF ECONOMETRICS

Multivariate-t linear mixed models with censored responses, intermittent missing values and heavy tails

(2019) Tsung-I Lin et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Inference and uncertainty quantification for noisy matrix completion

(2019) Yuxin Chen et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Renewable estimation and incremental inference in generalized linear models with streaming data sets

(2019) Lan Luo et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

(2018) Jintao Ke et al.   Transportmetrica A-Transport Science

Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors

(2015) Morteza Mardani et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A principal component method to impute missing values for mixed data

(2014) Vincent Audigier et al.   Advances in Data Analysis and Classification

A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM Risk-SCD)

(2013) C. O'Mahony et al.   EUROPEAN HEART JOURNAL

Principal components estimation and identification of static factors

(2013) Jushan Bai et al.   JOURNAL OF ECONOMETRICS