Rate of the Almost Sure Convergence of a Generalized Regression Estimate Based on Truncated and Functional Data

DOI10.17516/1997-1397-2020-13-4-480-491OpenAlexW3048165847MaRDI QIDQ5859246

Soumia Kharfouch, Halima Boudada, Sara Leulmi

Publication date: 16 April 2021

Published in: Journal of Siberian Federal University. Mathematics & Physics (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/jsfu856

zbMATH Keywords

local linear estimatoralmost sure convergencetruncated datafunctional data

Mathematics Subject Classification ID

Nonparametric inference (62Gxx)

Related Items (1)

Local linear estimation of the conditional mode under left truncation for functional regressors

Cites Work

• Local polynomial modelling of the conditional quantile for functional data
• Estimation of the truncation probability in the random truncation model
• On the nonparametric estimation of the functional \(\psi\)-regression for a random left-truncation model
• Almost sure representations of the product-limit estimator for truncated data
• Nonparametric functional data analysis. Theory and practice.
• Asymptotic Behavior of the Hazard Rate Kernel Estimator Under Truncated and Censored Data
• Kernel conditional quantile estimator under left truncation for functional regressors
• Locally modelled regression and functional data
• Local linear estimation of a generalized regression function with functional dependent data
• Asymptotic normality of the local linear estimation of the conditional density for functional time-series data
• A Class of Local Linear Estimators with Functional Data
• Estimating a distribution function with truncated data

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