Estimating the density of a possibly missing response variable in nonlinear regression-Reference-Cited by-同舟云学术

Estimating the density of a possibly missing response variable in nonlinear regression

Published:2012-05 Issue:5 Volume:142 Page:1198-1214
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Müller Ursula U.

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. Root-n consistency and functional central limit theorems for estimators of derivatives of convolutions of densities;Du;International Journal of Statistics and Management System,2007

2. Escanciano, J.C., Jacho-Chávez, D.T., 2010. Root-n Uniformly Consistent Density Estimation in Nonparametric Regression Models. Preprint.

3. On the construction of efficient estimators in semiparametric models;Forrester;Statistics & Decisions,2003

4. Estimating densities of functions of observations;Frees;Journal of the American Statistical Association,1994

5. On local U-statistic processes and the estimation of densities of functions of several sample variables;Giné;Annals of Statistics,2007

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Root-$n$ consistent estimation of the marginal density in semiparametric autoregressive time series models;Bernoulli;2019-08-01

2. On density and regression estimation with incomplete data;Communications in Statistics - Theory and Methods;2017-08-24

3. n-consistent density estimation in semiparametric regression models;Computational Statistics & Data Analysis;2016-12

4. Convergence rate of wavelet density estimator with data missing randomly when covariables are present;Communications in Statistics - Theory and Methods;2016-02-25

5. Uniform convergence of convolution estimators for the response density in nonparametric regression;Bernoulli;2013-11-01