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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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3 results for “Bentkus”

Bentkus-type asymptotic e-valuesmath.ST

New asymptotic e-values improve inference by eliminating data-dependent scaling inefficiency.

problem Data-dependent scaling inefficiency in existing asymptotic e-values.

method Drawing on Bentkus's near-optimal concentration inequalities, introduce Bentkus-type asymptotic e-values.

result Bentkus-type asymptotic e-values consistently deliver sharper inference than existing alternatives.

asymptotic e-values post-hoc inference multiple testing Bentkus near-optimal concentration inequalities

2026-06-04abs ↗pdf ↗

Near-Optimal Confidence Sequences for Bounded Random Variablesmath.ST

Near-optimal confidence intervals for bounded data.

problem Online inference for sequential decision problems like A/B testing.

method Utilizing Bentkus' concentration results to improve on existing methods.

result Near-optimal confidence intervals confirmed favorable in synthetic and practical applications.

confidence intervals Bentkus' concentration online inference Bounded random variables

2020-06-09abs ↗pdf ↗

A distribution-free valid p-value for finite samples of bounded random variablesstat.ML

Valid p-value for bounded random variables without distributional assumptions.

problem Calibration of predictive algorithms in a distribution-free setting.

method Built a super-uniform p-value based on a concentration inequality.

result Super-uniform p-value is tighter than existing alternatives.

p-value bounded random variables distribution-free calibration concentration inequality

2024-05-14abs ↗pdf ↗