On Likelihood Functions to Minimize KL Divergence in Binary Hypothesis Testing.
Linlin SunShihao YanRiqing ChenFeng ShuPublished in: ICSPCS (2020)
Keyphrases
- hypothesis testing
- kl divergence
- likelihood ratio
- kullback leibler divergence
- information theoretic
- mahalanobis distance
- gaussian mixture
- statistical tests
- mutual information
- maximum likelihood
- gaussian distribution
- probability density
- information theory
- exponential family
- posterior distribution
- confidence intervals
- probabilistic model
- image classification
- upper bound