Cramér-Rao Bound for Estimation After Model Selection and Its Application to Sparse Vector Estimation.
Elad MeirTirza RouttenbergPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- rao bound
- model selection
- parameter estimation
- cross validation
- error estimation
- selection criterion
- machine learning
- sample size
- model selection criteria
- motion segmentation
- variable selection
- mixture model
- em algorithm
- multi view
- density estimation
- feature vectors
- statistical inference
- feature selection
- data mining