Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures.
Furui LiuLaiwan ChanPublished in: CoRR (2018)
Keyphrases
- linear models
- variable selection
- high dimensional
- additive models
- linear model
- gaussian processes
- dimensionality reduction
- linear regression
- nearest neighbor
- detection method
- object detection
- cross validation
- machine learning
- training data
- high dimensionality
- dimension reduction
- unsupervised learning
- model selection
- least squares