A statistical approach to robustness
The bibliography cites a paper that treats robustness as a statistical estimate. The cited work frames the result as an estimate over an input distribution, not only as a worst case.
The requirement in plain English
The bibliography cites a paper that treats robustness as a statistical estimate. The cited work frames the result as an estimate over an input distribution, not only as a worst case.
What the public record says
The bibliography entry names the authors, title and year. The public view gives no summary and no clause reference.
Why it matters to you
This is the methodological centre of the bibliography. A statistical approach gives a number with uncertainty, which is what a risk decision can use, and it scales to input spaces where a formal method cannot. The trade is that the number is only as good as the distribution it samples. The paper's framing is a useful discipline for a buyer: state the distribution, state the estimator, state the interval, and do not present the estimate as a guarantee.
Evidence a reviewer asks for
- The input distribution used for the estimate, with its source.
- The estimator and the confidence interval or credible interval.
- The number of draws and the seed.
- A statement that the estimate is not a worst-case guarantee.
Checks to run this month
- Is the distribution named and justified?
- Is an interval reported, not only a point estimate?
- Does the claim avoid the word guarantee?
Dates
Paper published 2019. FDIS registered 2026-08-21.
Cross-references
- Statistical reachability analysis
- Formal methods and statistical methods are complements
- Set the acceptance threshold and the decision rule
What this page does not state
The public view gives no summary and no statement of how the draft uses the paper.