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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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.