Fourier transform sparse inverse regression estimators for sufficient variable selection.
Jiaying WengPublished in: Comput. Stat. Data Anal. (2022)
Keyphrases
- fourier transform
- variable selection
- high dimensional
- group lasso
- linear models
- model selection
- frequency domain
- regression model
- cross validation
- estimation problems
- proportional hazards model
- sparsity inducing
- input variables
- sparse regression
- signal processing
- dimension reduction
- random projections
- structured sparsity
- relevance vector machine
- regression problems
- fourier domain
- fast fourier transform
- gaussian processes
- high dimensional data
- low dimensional
- feature space
- feature selection
- linear regression
- sparse representation
- high dimensionality
- discrete fourier transform
- radon transform
- machine learning
- support vector
- image data
- data sets
- data points
- feature extraction
- compressive sensing
- feature selection and classification
- data analysis
- neural network