Empirical Bayes Estimators for High-Dimensional Sparse Vectors.
Koteshwar Pavan SrinathRamji VenkataramananPublished in: CoRR (2017)
Keyphrases
- high dimensional
- empirical bayes
- sparse data
- lower dimensional
- low dimensional
- dimensionality reduction
- similarity search
- high dimensionality
- high dimension
- estimation problems
- random projections
- multi dimensional
- dimension reduction
- sparse coding
- feature space
- high dimensional feature space
- variable selection
- nearest neighbor
- high dimensional data
- basis vectors
- metric space
- microarray data
- data points
- noisy data
- additive models
- vector space
- compressive sensing
- covariance matrices
- high dimensional problems
- generalized linear models
- parameter space
- kernel function
- compressed sensing
- high dimensional datasets
- principal components
- feature vectors
- sparse matrix
- asymptotic properties
- feature extraction