3 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…
eess.SP2024
Exponentially Consistent Outlier Hypothesis Testing for Continuous Sequences
Lina Zhu, Lin Zhou
In outlier hypothesis testing, one aims to detect outlying sequences among a given set of sequences, where most sequences are generated i.i.d. from a nominal distribution while out…