3 citations · 5 across the 2 of their papers we have counts for
4 papers
Contextual Online False Discovery Rate Control
Shiyun Chen, Shiva Kasiviswanathan
Multiple hypothesis testing, a situation when we wish to consider many hypotheses, is a core problem in statistical inference that arises in almost every scientific field. In this…
A Scan Procedure for Multiple Testing
Shiyun Chen, Andrew Ying, Ery Arias-Castro
In a multiple testing framework, we propose a method that identifies the interval with the highest estimated false discovery rate of P-values and rejects the corresponding null hyp…
Sequential Multiple Testing
Shiyun Chen, Ery Arias-Castro
We study an online multiple testing problem where the hypotheses arrive sequentially in a stream. The test statistics are independent and assumed to have the same distribution unde…
Distribution-free Multiple Testing
Ery Arias-Castro, Shiyun Chen
We study a stylized multiple testing problem where the test statistics are independent and assumed to have the same distribution under their respective null hypotheses. We first sh…