… excess cases, it is necessary to predict future risk. In this study, focusing on models involving
excess risk … method for predicting the expected magnitude of numbers of excess cases and …

… inland excess water frequency observations. Two hybrid spatial prediction approaches
were … Although both methods are appropriate for predicting inland excess water hazard, we …

… -time identification of unfavourable trends. Statistical process-control methods can quickly
identify excess … observed outcomes with those expected on the basis of risk-prediction models. …

… The excess risk of late cardiac mortality was predicted for … Different methods to decrease the
risk of excess cardiac mortality (… excess risk was 1.8%, having the heart as organ at risk, and …

… cedure for predictive density estimation under entropy risk. This estimator, which we call
Sample Minmax Predictor (SMP), is obtained by minimizing a new general excess risk bound for …

… Relation to existing works 1) Accumulated excess risk for log loss: The … excess risks for the
log loss defined in Bayesian universal source coding [14], Bayesian sequential prediction [15], …

… levels of crash risk than teens licensed at younger ages (Mayhew, Simpson, Pak, 2003).
This study examined crash types and identified those that were associated with excess risk for …

… predictive value of parameters gained from reservoir theory applied to aortic pressure curves
in a cohort of high-risk … reservoir and excess pressure waveforms predicted cardiovascular …

… Bad risk management and control generate excess risk in banks. This excess risk is the
output of a credit decision that increases banks’ default risk to a higher level than what …

… risk bounds and they hold against point estimates. However, they are limited to the
prediction … We extend the technique of [11] to derive agnostic bounds for the excess risk of an …