High-dimensional variable screening and bias in subsequent inference, with an empirical comparison.
Peter BühlmannJacopo MandozziPublished in: Comput. Stat. (2014)
Keyphrases
- high dimensional
- elimination algorithm
- multi dimensional
- low dimensional
- bayesian inference
- similarity search
- probabilistic inference
- bayesian networks
- inference process
- sparse data
- dimensionality reduction
- feature space
- image analysis
- gene expression data
- microarray data
- high dimensional data
- dynamic bayesian networks
- drug discovery
- cervical cancer
- noisy data
- high dimensionality
- variable selection
- inference engine
- data points
- efficient learning
- high dimensional spaces
- probabilistic model
- inference mechanism