An Information-Geometric Characterization of Chernoff Information
An Information-Geometric Characterization of Chernoff Information
The Chernoff information was originally introduced for bounding the probability of error of the Bayesian decision rule in binary hypothesis testing. Nowadays, it is often used as a notion of symmetric distance in statistical signal processing or as a way to define a middle distribution in information fusion. Computing the …