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Nonparametric multivariate $L_{1}$-median regression estimation with functional covariates

Nonparametric multivariate \(L_{1}\)-median regression estimation with functional covariates
Authors: Chaouch, Mohamed; Laïb, Naâmane;

Nonparametric multivariate $L_{1}$-median regression estimation with functional covariates

Abstract

In this paper, a nonparametric estimator is proposed for estimating the L1-median for multivariate conditional distribution when the covariates take values in an infinite dimensional space. The multivariate case is more appropriate to predict the components of a vector of random variables simultaneously rather than predicting each of them separately. While estimating the conditional L1-median function using the well-known Nadarya-Waston estimator, we establish the strong consistency of this estimator as well as the asymptotic normality. We also present some simulations and provide how to built conditional con?fidence ellipsoids for the multivariate L1-median regression in practice. Some numerical study in chemiometrical real data are carried out to compare the multivariate L1-median regression with the vector of marginal median regression when the covariate X is a curve as well as X is a random vector.

34 pages, 4 figures

Keywords

FOS: Computer and information sciences, Ergodicity, mixing, rates of mixing, 37M10, Mathematics - Statistics Theory, Statistics Theory (math.ST), Multivariate distribution of statistics, Almost sure convergence, Methodology (stat.ME), multivariate conditional \(L_{1}\)-median, Asymptotic properties of nonparametric inference, kernel estimation, FOS: Mathematics, 62G05, almost sure convergence, multivariate conditional $L_{1}$-median, 62G20, functional data, Statistics - Methodology, 37A25, small balls probability, Time series analysis of dynamical systems, confidence ellipsoid, multivariate conditional distribution, 62H10, Nonparametric estimation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Average
Average
Green
gold