On spatial conditional mode estimation for a functional regressor

Let (Zi=(Xi,Yi),i∈ZN) be a F×RF×R-valued measurable strictly stationary spatial process, where FF is a semi-metric space. We study a kernel estimator of the conditional mode of the univariate response variable Yi given the functional variable Xi. The main aim of this paper is to prove the almost complete convergence (with rate) of this estimate