5 papers
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…
Exponentially Consistent Low Complexity Tests for Outlier Hypothesis Testing
Jun Diao, Jingjing Wang, Lin Zhou
We revisit outlier hypothesis testing, propose exponentially consistent low complexity fixed-length and sequential tests and show that our tests achieve better tradeoff between det…
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…
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…
Sequential Outlier Hypothesis Testing under Universality Constraints
Jun Diao, Lin Zhou
We revisit sequential outlier hypothesis testing and derive bounds on achievable exponents when both the nominal and anomalous distributions are unknown. The task of outlier hypoth…