Oct 11, 2019 · Abstract:One important partition of algorithms for controlling the false discovery rate (FDR) in multiple testing is into offline and online ...
As is the case for state-of-the-art online algorithms, our procedures allow testing an infinite se- quence of batches of adaptively chosen hypotheses, but they ...
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In this paper, we develop FDR procedures which are appropriate for multiple batches of tests. We allow testing of possibly infinitely many batches in an on-.
Algorithms for controlling the FDR when a possibly infinite sequence of batches of hypotheses is tested by repeated application of one of the most widely ...
One important partition of algorithms for controlling the false discovery rate (FDR) in multiple testing is into offline and online algorithms.
Aug 26, 2020 · The Power of Batching in Multiple Hypothesis Testing · Speakers · Organizer · Categories · About AISTATS 2020 · Store presentation · Should this ...
Batch refers to the case when the hypotheses are tested as they arrive in batches. One-by-one refers to the case when hypotheses are tested as they arrive, one ...
The code in this repo produces all of the plots and tables in the paper "The Power of Batching in Multiple Hypothesis Testing", which will appear in AISTATS ...
Online hypothesis testing has a sequential nature, in the sense that individual hypotheses (or batches of hypotheses) are tested one after the other over time.
Mar 27, 2024 · This work builds on the generalized α-investing framework which enables control of the marginal false discovery rate in a sequential testing ...