Deviation in kernel density estimation: super-optimal case
Résumé
As in a previous Note [3] we study the asymptotic behaviour of several non-linear functionals of the empirical bridge in the super-optimal case. We consider the asymptotic behaviour of the number of crossings for the perturbed process in case the window satisfies $\sqrt{n}h^{2} \to +\infty$; applications of the asymptotics are found. We also obtain a central limit theorem for the integrated square error of density estimators and in general for a G-deviation in density estimation and for the Kullback deviation in the super-optimal case.
Domaines
Probabilités [math.PR]
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