Abstract
For independent X and Y in the inequality P(X ≤ Y + μ), we give sharp lower bounds for unimodal distributions having finite variance, and sharp upper bounds assuming symmetric densities bounded by a finite constant. The lower bounds depend on a result of Dubins about extreme points and the upper bounds depend on a symmetric rearrangement theorem of R Riesz. The inequality was motivated by medical imaging: find bounds on the area under the Receiver Operating Characteristic curve (ROC).
Original language | English (US) |
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Pages (from-to) | 467-476 |
Number of pages | 10 |
Journal | Annals of Applied Probability |
Volume | 19 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2009 |
Keywords
- Extreme points
- ROC
- Symmetric rearrangements
- Tail probabilities
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty