Inference for high-dimensional differential correlation matrices.
T. Tony CaiAnru ZhangPublished in: J. Multivar. Anal. (2016)
Keyphrases
- high dimensional
- correlation matrix
- low dimensional
- bayesian networks
- bayesian inference
- inference process
- nearest neighbor
- dimensionality reduction
- singular value decomposition
- similarity search
- probabilistic inference
- sparse data
- high dimensional spaces
- least squares
- matrix representation
- high dimensional problems
- high correlation
- high dimension
- inference engine
- variable selection
- multi dimensional
- input space
- manifold learning
- high dimensionality