Imputed Factor Regression for High-dimensional Block-wise Missing Data
Sign Up to like & getrecommendations! Published in 2020 at "Statistica Sinica"
DOI: 10.5705/ss.202018.0008
Abstract: Block-wise missing data are becoming increasingly common in highdimensional biomedical, social, psychological, and environmental studies. As a result, we need efficient dimension-reduction methods for extracting important information for predictions under such data. Existing dimension-reduction methods… read more here.
Keywords: wise missing; missing data; factor regression; factor ... See more keywords