This paper is intended as a guide to simulation of risk processes. A typical model for insurance risk, the so-called collective risk model, treats the aggregate loss as having a compound distribution with two main components: one characterizing the arrival of claims and another describing the...

This article evaluates patents in a stochastic discrete time framework following the real options approach. By modeling the dynamics of the underlying as a spatial point process both size and time of the jumps can be treated as random variables. The propagation of the jumps from the underlying...

We derive semiparametric methods for estimating and testing treatment effects when censored recurrent event data are available over multiple periods. These methods are based on estimating functions motivated by a working “mixed-Poisson” assumption under which conditioning can eliminate...