A generalization of voxel-wise procedures for high-dimensional statistical inference using ridge regression.
Karl SjöstrandValerie A. CardenasRasmus LarsenColin StudholmePublished in: Medical Imaging: Image Processing (2008)
Keyphrases
- statistical inference
- ridge regression
- high dimensional
- model selection
- graphical models
- statistical methods
- linear regression
- bayesian inference
- regression methods
- statistical learning
- low dimensional
- machine learning
- ls svm
- variable selection
- parameter space
- pairwise
- support vector machine
- high dimensionality
- data points
- regression model
- feature space
- dimension reduction
- manifold learning
- data sets
- prediction model
- parameter estimation
- statistical analysis
- bayesian networks
- regression method