On permutation tests for predictor contribution in sufficient dimension reduction.
Yuexiao DongChaozheng YangZhou YuPublished in: J. Multivar. Anal. (2016)
Keyphrases
- dimension reduction
- permutation tests
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- feature selection
- variable selection
- linear discriminant analysis
- manifold learning
- statistical significance
- high dimensional data
- singular value decomposition
- neural network
- high dimensionality
- cluster analysis
- preprocessing
- face recognition
- statistical inference
- cross validation
- image segmentation
- nearest neighbor
- knn
- probabilistic model
- feature space
- pattern recognition
- null hypothesis
- computer vision