Abstract The Maximal Information Coefficient (MIC) is a powerful statistic to identify dependencies between variables. However, it may be applied to sensitive data, and …
A Shukla - arXiv preprint arXiv:2402.03737, 2024 - arxiv.org
We consider a high-dimensional stochastic contextual linear bandit problem when the parameter vector is $ s_ {0} $-sparse and the decision maker is subject to privacy constraints …
S Döhler, I Meah, E Roquain - Electronic Journal of Statistics, 2024 - projecteuclid.org
Valid online inference is an important problem in contemporary multiple testing research, to which various solutions have been proposed recently. It is well-known that these existing …
A Fisher - Biometrical Journal, 2024 - Wiley Online Library
Online testing procedures assume that hypotheses are observed in sequence, and allow the significance thresholds for upcoming tests to depend on the test statistics observed so far …
The present work proposes new methodologies for controlling the False Discovery Proportion (FDP) while accommodating structures present in contemporary data. Since the …