Sufficient dimension reduction for average causal effect estimation.
Debo ChengJiuyong LiLin LiuThuc Duy LeJixue LiuKui YuPublished in: Data Min. Knowl. Discov. (2022)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- low dimensional
- random projections
- data mining and machine learning
- preprocessing
- partial least squares
- high dimensional data
- singular value decomposition
- high dimensionality
- linear discriminant analysis
- feature space
- variable selection
- feature selection
- cluster analysis
- unsupervised learning
- discriminative information
- high dimensional data analysis
- manifold learning
- discriminant analysis
- neural network
- dimensionality reduction
- dimension reduction methods
- nearest neighbor