Related references
Note: Only part of the references are listed.AmeliaII: A Program for Missing Data
James Honaker et al.
Journal of Statistical Software (2015)
On the stationary distribution of iterative imputations
Jingchen Liu et al.
BIOMETRIKA (2014)
Reconstruction of a low-rank matrix in the presence of Gaussian noise
Andrey A. Shabalin et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2013)
Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods
Shaun R. Seaman et al.
BMC MEDICAL RESEARCH METHODOLOGY (2012)
Selecting the number of components in principal component analysis using cross-validation approximations
Julie Josse et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2012)
The Power of Convex Relaxation: Near-Optimal Matrix Completion
Emmanuel J. Candes et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2010)
What to Do about Missing Values in Time-Series Cross-Section Data
James Honaker et al.
AMERICAN JOURNAL OF POLITICAL SCIENCE (2010)
Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines
Andrea Marshall et al.
BMC MEDICAL RESEARCH METHODOLOGY (2009)
Cross-validation of component models: A critical look at current methods
R. Bro et al.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2008)
Fully conditional specification in multivariate imputation
S. Van Buuren et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2006)
Generating random correlation matrices based on partial correlations
Harry Joe
JOURNAL OF MULTIVARIATE ANALYSIS (2006)
Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana
A Wille et al.
GENOME BIOLOGY (2004)