2 papers
eess.SP2026
Exponentially Consistent Low-Complexity Outlier Hypothesis Testing for Continuous Sequences
Lina Zhu, Lin Zhou
In this work, we revisit outlier hypothesis testing and propose exponentially consistent, low-complexity fixed-length tests that achieve a better tradeoff between detection perform…
stat.ML2024
Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty
Lina Zhu, Lin Zhou
In multiple classification, one aims to determine whether a testing sequence is generated from the same distribution as one of the M training sequences or not. Unlike most of exist…