The authors use mid-quantile regression to deal with ordinal #riskassessments and compare their approach to current alternatives for #cyberrisk ranking and graded responses. They test their #model on both simulated and real data and discuss its applications to #threatlintelligence.
"Private businesses are making actuarial decisions, assessing that some locations are just too vulnerable to insure. At the same time, this insurance retreat also poses a policy challenge for states a
New estimators for generalized tail distortion (GTD) risk measures are proposed, based on first-order asymptotic expansions, offering simplicity and comparable or better performance than existing meth
Cyber risk presents significant challenges to society, yet its statistical behavior remains insufficiently understood. This paper analyzes three databases to study cyber risk dynamics. It identifies i