In this work, we reinforce this connection between asynchronous online testing and dependence by devel- oping a general abstract framework in which, from an ...
Dec 12, 2018 · We present a general framework that addresses both of these issues via a unified computational abstraction that we refer to as "conflict sets." ...
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A related framework is to use 'asynchronous' online testing, as discussed in Section 5, which gives the added flexibility of allowing hypothesis tests to ...
This work considers the problem of asynchronous online testing, aimed at providing control of the false discovery rate (FDR) during a continual stream of ...
A framework for Multi-A(rmed)/B(andit) testing with online FDR control ... We propose a an alternative framework to existing setups for controlling false alarms ...
Jan 1, 2021 · We present a general framework that addresses both of these issues via a unified computational abstraction that we refer to as "conflict sets." ...
To check how many hypotheses ... LONDstar() implements the LOND algorithm for asynchronous online testing, as presented by Zrnic et al. ... (2022). Online multiple ...
A related frame- work is to use 'asynchronous' online testing, as discussed in Section 5, which gives the added flexibility of allowing hypothesis tests to ...
Aug 24, 2022 · In this framework, hypotheses arrive in a stream, and at each time point the analyst decides whether to reject the current hypothesis based both ...
(2015) provide a comprehensive overview of how online hypothesis testing plays a crucial in modern. A/B testing. ... Asynchronous Online Testing of Multiple.