Initiates finite-sample theory for differentially private hypothesis testing in survival analysis, with private tests for Cox models and cumulative hazards plus minimax bounds.
arXiv preprint arXiv:2402.07131 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
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PostRI computes randomization intervals after differentially private median estimation, delivering 14-850% higher median utility than prior methods while keeping narrow intervals.
A black-box resampling procedure produces asymptotically valid and tight differentially private nonparametric confidence intervals for arbitrary quantities from any suitable private estimator.
citing papers explorer
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Differentially private hypothesis testing in survival analysis
Initiates finite-sample theory for differentially private hypothesis testing in survival analysis, with private tests for Cox models and cumulative hazards plus minimax bounds.
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Interpreting the Error of Differentially Private Median Queries through Randomization Intervals
PostRI computes randomization intervals after differentially private median estimation, delivering 14-850% higher median utility than prior methods while keeping narrow intervals.
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Differentially Private Nonparametric Confidence Intervals Under Minimal Distributional Assumptions
A black-box resampling procedure produces asymptotically valid and tight differentially private nonparametric confidence intervals for arbitrary quantities from any suitable private estimator.