Second-Order Asymptotics of Hoeffding-Like Hypothesis Tests
K. V. Harsha, Jithin Ravi, and Tobias Koch

TL;DR
This paper analyzes the second-order asymptotics of Hoeffding-like hypothesis tests, extending the classical Hoeffding test by replacing the divergence measure and characterizing error rates beyond the first order.
Contribution
It provides a comprehensive characterization of second-order error terms for a broad class of divergence-based tests, including the classical Hoeffding test.
Findings
Derived second-order error asymptotics for Hoeffding-like tests
Extended analysis to a large class of divergence measures
Unified framework encompassing classical Hoeffding test results
Abstract
We consider a binary statistical hypothesis testing problem, where independent and identically distributed random variables are either distributed according to the null hypothesis or the alternate hypothesis , and only is known. For this problem, a well-known test is the Hoeffding test, which accepts if the Kullback-Leibler (KL) divergence between the empirical distribution of and is below some threshold. In this paper, we consider Hoeffding-like tests, where the KL divergence is replaced by other divergences, and characterize, for a large class of divergences, the first and second-order terms of the type-II error for a fixed type-I error. Since the considered class includes the KL divergence, we obtain the second-order term of the Hoeffiding test as a special case.
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Taxonomy
TopicsStatistical Methods and Inference · Advanced Statistical Methods and Models · Statistical Mechanics and Entropy
