Chunk-wise regularised PCA-based imputation of missing data

Imputation and low-rank estimation with Missing Not At Random data

(2020) Aude Sportisse et al.   STATISTICS AND COMPUTING

Comparisons among several methods for handling missing data in principal component analysis (PCA)

(2018) Sébastien Loisel et al.   Advances in Data Analysis and Classification

Streaming PCA and Subspace Tracking: The Missing Data Case

(2018) Laura Balzano et al.   PROCEEDINGS OF THE IEEE

Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?

(2017) Hervé Cardot et al.   INTERNATIONAL STATISTICAL REVIEW

Principal Component Analysis of Process Datasets with Missing Values

(2017) Kristen Severson et al.   Processes

missMDA: A Package for Handling Missing Values in Multivariate Data Analysis

(2016) Julie Josse et al.   Journal of Statistical Software

PCA model building with missing data: New proposals and a comparative study

(2015) A. Folch-Fortuny et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

(2015) Marco Geraci et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Principal component analysis with missing values: a comparative survey of methods

(2014) Stéphane Dray et al.   PLANT ECOLOGY

Missing values in multi-level simultaneous component analysis

(2013) Julie Josse et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Missing data in principal component analysis of questionnaire data: a comparison of methods

(2013) Joost R. Van Ginkel et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Cross-validation of component models: A critical look at current methods

(2008) R. Bro et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY