  We study the nonparametric estimation for the intensity of Poisson random
measure in jump-diffusion CIR model based on the low frequency observations.
This is given in terms of the minimization of norms on a nonempty, closed and
convex subset of some special Hilbert space. We establish the measurability of
the estimator and derive its consistency and asymptotic risk bound.
