Finite-Sample Bounds for Two-Distribution Hypothesis Tests.
Cynthia HomWilliam YikGeorge D. MontañezPublished in: DSAA (2023)
Keyphrases
- finite sample
- sample size
- hypothesis tests
- model selection
- statistical learning theory
- uniform convergence
- error bounds
- nearest neighbor
- confidence intervals
- upper bound
- vc dimension
- worst case
- generalization error
- hypothesis testing
- probability distribution
- large deviations
- machine learning
- statistical tests
- probability model
- statistical learning
- active learning
- lower bound
- monte carlo
- knn