Relative error prediction in nonparametric deconvolution regression model

DOI10.1111/stan.12135WikidataQ129954383 ScholiaQ129954383MaRDI QIDQ6147739

Baba Thiam

Publication date: 16 January 2024

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

asymptotic normalitynonparametric estimationmean square relative erroralmost-sure convergencedeconvolution problem

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Applications of statistics (62Pxx) Nonparametric inference (62Gxx)

Related Items (4)

The k nearest neighbors smoothing of the relative-error regression with functional regressor ⋮ Single-index relative error regression models ⋮ Asymptotic properties of nonparametric quantile estimation with spatial dependency ⋮ Incorporating relative error criterion to conformal prediction for positive data

Cites Work

• Unnamed Item
• Relative-error prediction in nonparametric functional statistics: theory and practice
• Relative error prediction via kernel regression smoothers
• Multivariate regression estimation with errors-in-variables: Asymptotic normality for mixing processes
• Relative-error prediction
• Nonparametric regression with errors in variables
• Nonparametric relative error regression for spatial random variables
• Multivariate regression estimation with errors-in-variables for stationary processes
• Density Estimation in the Presence of Heteroscedastic Measurement Error
• Predicting software errors, during development, using nonlinear regression models: a comparative study
• Prediction, Linear Regression and the Minimum Sum of Relative Errors
• A Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions
• Least Absolute Relative Error Estimation
• A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem

This page was built for publication: Relative error prediction in nonparametric deconvolution regression model