A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications.
Sebastian EspinosaJorge F. SilvaSandra CéspedesPublished in: Entropy (2024)
Keyphrases
- information theory
- hypothesis testing
- information theoretic
- conditional entropy
- hypothesis tests
- likelihood ratio
- test statistic
- jensen shannon divergence
- statistical learning
- statistical mechanics
- rate distortion theory
- statistical tests
- shannon entropy
- null hypothesis
- likelihood ratio test
- hypothesis test
- mutual information
- machine learning
- information geometry
- statistical methods
- error rate