Before revision:  We also illustrate our model on a European general liability insurance data set and conclude that the granular approach compared to the chain ladder method is more robust with respect to volatility in the occurrence process. Our framework can be extended to other predictive problems where interest goes to events that incurred in the past but which are subject to an observation delay(e.g. the number of infections during an epidemic) .
After revision:  We also illustrate our model on a European general liability insurance data set where the occurrence of an accident is reported to the insurer with delay .