Linear Hypothesis Testing in Dense High-Dimensional Linear Models.
Yinchu ZhuJelena BradicPublished in: CoRR (2016)
Keyphrases
- linear models
- hypothesis testing
- variable selection
- high dimensional
- linear model
- additive models
- nonlinear models
- linear regression
- gaussian processes
- statistical tests
- cross validation
- parameter space
- hypothesis tests
- dimensionality reduction
- low dimensional
- model selection
- high dimensional data
- closed form
- dimension reduction
- data sets
- markov random field
- active learning
- learning process
- support vector
- decision trees