Abstract
We consider the problem of the density and drift estimation by the observation of a trajectory of an \({\mathbb{R}^{d}}\)-dimensional homogeneous diffusion process with a unique invariant density. We construct estimators of the kernel type based on discretely sampled observations and study their asymptotic distribution. An estimate of the rate of normal approximation is given.
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