  We consider nonsynchronous sampling of parameterized stochastic regression
models, which contain stochastic differential equations. Constructing a
quasi-likelihood function, we prove that the quasi-maximum likelihood estimator
and the Bayes type estimator are consistent and asymptotically mixed normal
when the sampling frequency of the nonsynchronous data becomes large.
