AdaPT: an interactive procedure for multiple testing with side information
We consider the problem of multiple-hypothesis testing with generic side information: for
each hypothesis H i we observe both ap-value pi and some predictor xi encoding contextual …
each hypothesis H i we observe both ap-value pi and some predictor xi encoding contextual …
Multiple testing with the structure-adaptive Benjamini–Hochberg algorithm
In multiple-testing problems, where a large number of hypotheses are tested simultaneously,
false discovery rate (FDR) control can be achieved with the well-known Benjamini …
false discovery rate (FDR) control can be achieved with the well-known Benjamini …
[HTML][HTML] Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing
Multiple hypothesis testing is an essential component of modern data science. In many
settings, in addition to the p-value, additional covariates for each hypothesis are available …
settings, in addition to the p-value, additional covariates for each hypothesis are available …
Simultaneous high-probability bounds on the false discovery proportion in structured, regression and online settings
E Katsevich, A Ramdas - The Annals of Statistics, 2020 - JSTOR
While traditional multiple testing procedures prohibit adaptive analysis choices made by
users, Goeman and Solari (Statist. Sci. 26 (2011) 584–597) proposed a simultaneous …
users, Goeman and Solari (Statist. Sci. 26 (2011) 584–597) proposed a simultaneous …
SAFFRON: an adaptive algorithm for online control of the false discovery rate
In the online false discovery rate (FDR) problem, one observes a possibly infinite sequence
of $ p $-values $ P_1, P_2,… $, each testing a different null hypothesis, and an algorithm …
of $ p $-values $ P_1, P_2,… $, each testing a different null hypothesis, and an algorithm …
Distance-based and RKHS-based dependence metrics in high dimension
In this paper, we study distance covariance, Hilbert–Schmidt covariance (aka Hilbert–
Schmidt independence criterion [In Advances in Neural Information Processing Systems …
Schmidt independence criterion [In Advances in Neural Information Processing Systems …
A general interactive framework for false discovery rate control under structural constraints
We propose a general framework based on selectively traversed accumulation rules for
interactive multiple testing with generic structural constraints on the rejection set. It combines …
interactive multiple testing with generic structural constraints on the rejection set. It combines …
Asynchronous online testing of multiple hypotheses
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 …
false discovery rate (FDR) during a continual stream of data collection and testing, where …
STAR: A general interactive framework for FDR control under structural constraints
We propose a general framework based on selectively traversed accumulation rules (STAR)
for interactive multiple testing with generic structural constraints on the rejection set. It …
for interactive multiple testing with generic structural constraints on the rejection set. It …
Knockoffs with side information
Knockoffs with side information Page 1 The Annals of Applied Statistics 2023, Vol. 17, No. 2,
1152–1174 https://doi.org/10.1214/22-AOAS1663 © Institute of Mathematical Statistics, 2023 …
1152–1174 https://doi.org/10.1214/22-AOAS1663 © Institute of Mathematical Statistics, 2023 …