Neighborhood-based cross fitting approach to treatment effects with high-dimensional data.
Oluwagbenga David AgboolaHan YuPublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- subspace clustering
- high dimensions
- data sets
- data points
- data analysis
- similarity search
- dimension reduction
- high dimensional datasets
- nonlinear dimensionality reduction
- dimensional data
- clustering high dimensional data
- input space
- original data
- data distribution
- complex data
- manifold learning
- variable selection
- high dimensional spaces
- least squares
- lower dimensional
- linear discriminant analysis
- text data
- knn
- high dimensional data sets
- data mining
- neural network
- small sample size
- computer vision
- pattern recognition
- locally linear embedding
- data streams