Abstract
Using the sub-Gaussian norm of the Bernoulli random variable, this paper presents the explicit and informative error lower bounds for binary and multiple hypothesis testing in terms of the KL divergence non-asymptotically. Some numerical comparisons are also demonstrated.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have