The multiply iterated LIL is derived as the minimax boundary of a sequential-detection game whose equalizer prior is the Jeffreys prior selected by the Erdős-Kolmogorov integral test, yielding a closed-form 3/2 coefficient correction.
Safe testing
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 7verdicts
UNVERDICTED 7roles
background 1polarities
support 1representative citing papers
For bounded e-variables the GROW value equals the relative entropy of the weak-* joint information projection pair between arbitrary P and Q.
Finite-horizon optimal e-value designs for adaptive single-arm binary trials are constructed via dynamic programming and shown to have competitive operating characteristics with automatic futility indication.
The optimal wealth growth rate equals lim n→∞ of n^{-1} times inf KL(Q^n, P) over the bipolar of the n-fold null set, which is achievable and cannot be exceeded.
Introduces anytime-valid e-processes for first- and higher-order stochastic dominance that achieve power one and remain valid under continuous monitoring.
Power-one sequential tests exist for testing any weakly compact null set of distributions against its complement.
A distribution-free sequential test for return-to-baseline detection that aggregates a universal-inference discrepancy into a super-martingale and empirically calibrates it into an e-process with finite-sample bounds.
citing papers explorer
-
Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$
Power-one sequential tests exist for testing any weakly compact null set of distributions against its complement.