72 citations · 124 across the 36 of their papers we have counts for
Showing 2018Show all
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stat.ME2018
Asynchronous Online Testing of Multiple Hypotheses
Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
We consider the problem of asynchronous online testing, aimed at providing control of the false discovery rate (FDR) during a continual stream of data collection and testing, where…
math.ST2018
Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings
Eugene Katsevich, Aaditya Ramdas
While traditional multiple testing procedures prohibit adaptive analysis choices made by users, Goeman and Solari (2011) proposed a simultaneous inference framework that allows use…
stat.ME2018
SAFFRON: an adaptive algorithm for online control of the false discovery rate
Aaditya Ramdas, Tijana Zrnic, Martin Wainwright +1
In the online false discovery rate (FDR) problem, one observes a possibly infinite sequence of -values , each testing a different null hypothesis, and an algorith…