| Abstract
| - We consider a diffusion process X which is observed at times i/n for i = 0,1,..., n, each observation being subject to a measurement error. All errors are independent and centered Gaussian with known variance p n. There is an unknown parameter to estimate within the diffusion coefficient. In this second paper we construct estimators which are asymptotically optimal when the process X is a Gaussian martingale, and we conjecture that they are also optimal in the general case.
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