Probability density estimation with surrogate data and validation sample
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Publication:372239
DOI10.1007/s11464-013-0267-0zbMath1273.62080OpenAlexW2087471099MaRDI QIDQ372239
Publication date: 14 October 2013
Published in: Frontiers of Mathematics in China (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11464-013-0267-0
Uses Software
Cites Work
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- On the optimal rates of convergence for nonparametric deconvolution problems
- The equivalence of weak, strong, and complete convergence in \(L_ 1\) for kernel density estimates
- On the estimation of a probability density function by the maximum penalized likelihood method
- Optimal convergence properties of variable knot, kernel, and orthogonal series methods for density estimation
- Rates of convergence of some estimators in a class of deconvolution problems
- Estimation of partial linear error-in-variables models with validation data
- Auxiliary outcome data and the mean score method
- Estimation of linear error-in-covariables models with validation data under random censorship
- Empirical likelihood-based dimension reduction inference for linear error-in-responses models with validation study
- Remarks on Some Nonparametric Estimates of a Density Function
- Deconvolving kernel density estimators
- Optimal Rates of Convergence for Deconvolving a Density
- Inference using surrogate outcome data and a validation sample
- Cox Regression in Cohort Studies with Validation Sampling
- Empirical likelihood-based inference in linear errors-in-covariables models with validation data
- Semiparametric estimation of nonlinear errors-in-variables models with validation study
- A mean score method for missing and auxiliary covariate data in regression models
- On Estimation of a Probability Density Function and Mode
