Relative error prediction in nonparametric deconvolution regression model
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Publication:6147739
DOI10.1111/stan.12135WikidataQ129954383 ScholiaQ129954383MaRDI QIDQ6147739
Publication date: 16 January 2024
Published in: Statistica Neerlandica (Search for Journal in Brave)
asymptotic normalitynonparametric estimationmean square relative erroralmost-sure convergencedeconvolution problem
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
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