Nonparametric trend coefficient estimation for multidimensional diffusions

We consider the problem of the density and drift estimation by the observation of a trajectory of an Rd dimensional homogeneous diffusion process with a unique invariant density. We construct estimators of the kernel type and study the mean-square and almost sure uniform asymptotic behavior for these estimators. Finally, we give a class of processes satisfying our assumptions.