Conditional Hazard Estimate for Functional Random Fields

We consider the problem of nonparametric estimation of the conditional hazard function for spatial data. More precisely, given a strictly stationary random field , we investigate a kernel estimate of the conditional hazard function of univariate response variable Yi given the functional variable Xi. The principal aims of this article are to give the mean squared convergence rate and to prove the asymptotic normality of the proposed estimator. Finally, a simulation study and an application on real data are carried out to illustrate, for finite samples, the behavior of our method.