Uniform Inference in High-Dimensional Gaussian Graphical Models.
Sven KlaassenJannis KückMartin SpindlerPublished in: CoRR (2018)
Keyphrases
- gaussian graphical models
- high dimensional
- graphical models
- probabilistic inference
- linear models
- low dimensional
- bayesian networks
- variable selection
- nearest neighbor
- dimensionality reduction
- high dimensionality
- belief propagation
- parameter space
- feature space
- bayesian inference
- dimension reduction
- high dimensional data