A high dimensional two-sample test under a low dimensional factor structure.
Yingying MaWei LanHansheng WangPublished in: J. Multivar. Anal. (2015)
Keyphrases
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- low dimensional structure
- lower dimensional
- manifold learning
- dimension reduction
- high dimensionality
- high dimensions
- data points
- principal component analysis
- test data
- data sets
- input space
- euclidean space
- metric space
- sparse data
- high dimensional spaces
- multidimensional scaling
- sparse coding
- embedding space
- null hypothesis
- low dimensionality
- underlying manifold
- noisy data