Optimal prediction of catastrophes in autoregressive moving-average processes
Abstract. This paper presents an optimal predictor of level crossings, catastrophes, for autoregressive moving-average processes, and investigates the performance of the predictor. The optimal catastrophe predictor is the predictor that gives a minimal number of false alarms for a fixed detection probability. As a tool for evaluating, comparing and constructing the predictors a method using operat