Nonparametric regression with errors in variables and applications
Author:
Publisher
Elsevier BV
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference17 articles.
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2. On the optimal rates of convergence for nonparametric deconvolution problems;Fan;Ann. Statist.,1991
3. Asymptotic normality for deconvolving kernel density estimators;Fan;Sankhyã Ser. A,1991
4. Multivariate regression estimation with errors-in-variables: asymptotic normality for mixing processes;Fan;J. Multivariate Anal.,1992
5. Nonparametric regression with errors in variables;Fan;Anal. Statist.,1993
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1. Deconvoluting kernel density estimation and regression for locally differentially private data;Scientific Reports;2020-12
2. Partially linear multivariate regression in the presence of measurement error;Communications for Statistical Applications and Methods;2020-09-30
3. Partial deconvolution estimation in nonparametric regression;Canadian Journal of Statistics;2020-03-18
4. Nonparametric regression on hidden $\Phi$-mixing variables: Identifiability and consistency of a pseudo-likelihood based estimation procedure;Bernoulli;2017-05-01
5. Shape-restricted nonparametric regression with overall noisy measurements;Journal of Nonparametric Statistics;2013-06
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