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Published online by Cambridge University Press: 15 August 2002
We consider a diffusion process X which is observed at times i/nfor i = 0,1,...,n, each observation being subject to a measurementerror. All errors are independent and centered Gaussian with knownvariance pn . There is an unknown parameter to estimate within thediffusion coefficient. In this second paper weconstruct estimators which are asymptotically optimal when theprocess X is a Gaussian martingale, and we conjecture that they arealso optimal in the general case.