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A lower confidence sequence for the changing mean of non-negative right heavy-tailed observations with bounded mean. (arXiv:2210.11133v1 [stat.ML])
Oct. 21, 2022, 1:14 a.m. | Paul Mineiro
stat.ML updates on arXiv.org arxiv.org
A confidence sequence (CS) is an anytime-valid sequential inference primitive
which produces an adapted sequence of sets for a predictable parameter sequence
with a time-uniform coverage guarantee. This work constructs a non-parametric
non-asymptotic lower CS for the running average conditional expectation whose
slack converges to zero given non-negative right heavy-tailed observations with
bounded mean. Specifically, when the variance is finite the approach dominates
the empirical Bernstein supermartingale of Howard et. al.; with infinite
variance, can adapt to a known or …
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