The convergence rate for a non-parametric estimation of two distinct smooth trajectories based on pairs of their non-assigned noisy measurements is studied using the kernel estimates for two symmetric functions of observations and the roots of the corresponding parabolic equation. Some simulation results showing the performance of our method are presented.
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