Selective Imputation of Covariates in High Dimensional Censored Data.
Caroline SvahnOleg SysoevPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- high dimensional
- missing values
- low dimensional
- high dimensional data
- regression model
- missing data
- feature space
- high dimensionality
- dimensionality reduction
- multi modal
- sparse data
- nearest neighbor
- similarity search
- high dimensional problems
- parameter space
- sample size
- logistic regression
- data points
- canonical correlation analysis
- multi dimensional
- variable selection
- dimension reduction
- metric space
- neural network
- input space
- manifold learning
- microarray data
- gene expression data
- high dimensional spaces
- feature vectors
- discrete data
- data sets
- data imputation