Asymptotic Theory for Process Least Squares Estimators for Diffusion Processes.
PURDUE UNIV LAFAYETTE IND DEPT OF STATISTICS
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Strong consistency and asymptotic normality of an estimator related to least squares estimator for parameters involved in nonlinear stochastic differential equations are investigated by studying families of stochastic integrals using Fourier analytic methods. Author
- Statistics and Probability