Predictive information criterion for jump diffusion processes

In this paper, we address a model selection problem for ergodic jump diffusion processes based on high-frequency samples. We evaluate the expected genuine log-likelihood function and derive an Akaike-type information criterion. In the derivation process, we also give new estimates of the transition density of jump diffusion processes.