Kernel regression estimation in a Banach space
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Publication:998998
DOI10.1016/j.jspi.2008.06.015zbMath1153.62028OpenAlexW2042853695MaRDI QIDQ998998
Sophie Dabo-Niang, Noureddine Rhomari
Publication date: 30 January 2009
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.06.015
Nonparametric regression and quantile regression (62G08) Applications of functional analysis in probability theory and statistics (46N30) Probability theory on linear topological spaces (60B11)
Related Items
Efficiency in multivariate functional nonparametric models with autoregressive errors ⋮ Local linear regression modelization when all variables are curves ⋮ Local linear estimation of the regression function with Hilbertian variables ⋮ Kernel spatial density estimation in infinite dimension space ⋮ Non parametric estimations of the conditional density and mode when the regressor and the response are curves ⋮ Additive regression with Hilbertian responses ⋮ Adaptive and minimax estimation of the cumulative distribution function given a functional covariate ⋮ Note on conditional mode estimation for functional dependent data ⋮ Kernel regression estimation when the regressor takes values in metric space
Uses Software
Cites Work
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