estimators for functional data. We show via simulations and two empirical examples that the proposed NN estimator outperforms the …

unknown link function) to functional data covariates. The proposed algorithm is a modified version of the local scoring and …

This paper investigates a semi-parametric model for functional data, based on partial linear ideas. A methodology is …

observed at unevenly distributed spatial locations. Such data structures may be referred to as spatially indexed functional … data. Motivated by an important space physics problem, we model such data as a mean function plus spatially dependent error … known covariate functions. In particular, we develop methodology for the estimation a trend in spatially indexed functional …

general, functional data contains both phase (or x or horizontal) and amplitude (or y or vertical) variability. Traditional … technique called elastic shape analysis of curves that involves a new mathematical representation of functional data. Then … that ignore phase-amplitude separation. Furthermore, the generative models are applied to classification of functional data …

This paper is devoted to nonparametric analysis of functional data. We give asymptotic results for a kNN generalized …

In this paper we establish moderate deviations of regression function estimator on functional data. The pointwise …