Selective Cramér-Rao Bound For Estimation After Model Selection.
Elad MeirTirza RouttenbergPublished in: SSP (2018)
Keyphrases
- rao bound
- model selection
- cross validation
- parameter estimation
- hyperparameters
- error estimation
- regression model
- sample size
- machine learning
- mixture model
- selection criterion
- information criterion
- feature selection
- model selection criteria
- statistical inference
- motion segmentation
- marginal likelihood
- bayesian information criterion
- three dimensional
- automatic model selection
- depth from defocus
- probabilistic model