21 citations · 54 across the 19 of their papers we have counts for
4 papers · 1 filter
Strategic Multi-Agent Resource Allocation via Statistical Contracts
Ben Chugg, Michael I. Jordan, Aaditya Ramdas
We study a class of strategic hypothesis testing problems in which a principal aims to allocate resources among competing agents who possess data or data-generating mechanisms that…
Bentkus-type asymptotic e-values
Diego Martinez-Taboada, Ben Chugg, Aaditya Ramdas
Asymptotic e-values are emerging as a powerful alternative to asymptotic p-values, particularly in post-hoc inference and multiple testing, where significance levels may be data-de…
Post-Hoc Large-Sample Statistical Inference
Ben Chugg, Etienne Gauthier, Michael I. Jordan +2
We derive inferential procedures for large sample sizes that remain valid under data-dependent significance levels (so-called "post-hoc valid inference"). Classical statistical too…
E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
Ben Chugg, Aaditya Ramdas, Peter Grünwald
A recurring debate in the philosophy of statistics concerns what, exactly, should count as a measure of evidence for or against a given hypothesis. P-values, likelihood ratios, and…