Prior-free inferential models produce confidence intervals with exact nominal coverage for constrained parameters in normal and Poisson models with unknown nuisances, improved via random weighting for Poisson.
(1976).A Mathematical Theory of Evidence
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Crowdsourced judgments reliably flag authentic videos but frequently miss manipulations and struggle to identify whether changes are audio-only, video-only, or both.
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Constructing confidence intervals for constrained parameters via valid prior-free inferential models
Prior-free inferential models produce confidence intervals with exact nominal coverage for constrained parameters in normal and Poisson models with unknown nuisances, improved via random weighting for Poisson.
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Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes
Crowdsourced judgments reliably flag authentic videos but frequently miss manipulations and struggle to identify whether changes are audio-only, video-only, or both.