Overview
Statistical Inference consists of taking some data (generated in accordance with some unknown probability distribution) and then making some inferences about this distribution.
There are three issues to consider:
- Dividing the training data into equivalence classes
- Finding a good statistical estimator for each equivalence class
- Combining multiple estimators