Regression estimation for continuous-time functional data processes with missing at random response

In this paper, we are interested in nonparametric kernel estima-tion of a generalised regression function based on an incompletesample $(X_t, Y_t, \zeta)_{\in [0,T]}$ copies of a continuous-time stationary andergodic process $(X, Y, \zeta)$ . The predictor $X$ is valued in some infinite-dimensional