  In this paper, we construct a sequence of discrete time stochastic processes
that converges in probability and in the Skorokhod metric to a COGARCH(p,q)
model. The result is useful for the estimation of the continuous model defined
for irregularly spaced time series data. The estimation procedure is based on
the maximization of a pseudo log-likelihood function and is implemented in the
yuima package.
