Bayesian M-Ary Hypothesis Testing: The Meta-Converse and Verdú-Han Bounds Are Tight.
Gonzalo Vazquez-VilarAdrià Tauste CampoAlbert Guillen i FabregasAlfonso MartinezPublished in: IEEE Trans. Inf. Theory (2016)
Keyphrases
- hypothesis testing
- lower bound
- upper bound
- generalization error bounds
- worst case
- likelihood ratio
- contingency tables
- statistical tests
- bayesian networks
- hypothesis test
- robust statistical
- likelihood ratio test
- optimal solution
- false discovery rate
- test statistic
- maximum likelihood
- hypothesis tests
- vc dimension
- confidence intervals
- image segmentation
- sample complexity
- np hard
- bayesian decision
- training set
- minimum probability of error