A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments.
Juan ChenYingchun ZhouPublished in: J. Multivar. Anal. (2023)
Keyphrases
- high dimensional data
- selection strategy
- selection strategies
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensionality
- nearest neighbor
- data sets
- high dimensions
- data points
- subspace clustering
- dimension reduction
- selection algorithm
- manifold learning
- original data
- genetic algorithm
- data analysis
- similarity search
- input space
- nonlinear dimensionality reduction
- linear discriminant analysis
- regression model
- high dimensional data sets
- high dimensional spaces
- pattern recognition
- dimensional data
- variable selection
- clustering algorithm
- computer vision
- feature space
- intrinsic dimensionality
- input data
- survival data