APPROXIMATION OF MAXIMUM LIKELIHOOD ESTIMATOR FOR DIFFUSION PROCESSES FROM DISCRETE OBSERVATIONS

This paper is concerned with the approximation of the maximum likelihood estimator of parameter in the nonlinear drift coefficient of an Ito? stochastic differential equation. Trapezoidal rule of approximation and rectangular rule of approximation have been compared when the observations are made at regularly spaced discrete but dense time points.