Density deconvolution in a two-level heteroscedastic model with unknown error density
From MaRDI portal
Publication:1952041
DOI10.1214/09-EJS444zbMath1329.62189MaRDI QIDQ1952041
Alexander Meister, Christian Wagner, Ulrich Stadtmüller
Publication date: 27 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1263911324
Hermite polynomialsmeasurement errorsminimax convergence ratesnonparametric statisticsstatistical inverse problems
Related Items
Wavelet estimations for heteroscedastic super smooth errors, On the performance of weighted bootstrapped kernel deconvolution density estimators, Wavelet-Based Density Estimation in a Heteroscedastic Convolution Model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the optimal rates of convergence for nonparametric deconvolution problems
- Deconvolution with unknown error distribution
- Deconvolution problems in nonparametric statistics
- Density estimation with heteroscedastic error
- Nonparametric estimation of the measurement error model using multiple indicators.
- Fitting a mixture distribution to a variable subject to heteroscedastic measurement errors
- Inference in components of variance models with low replication
- Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model
- Adaptivity in convolution models with partially known noise distribution
- On deconvolution with repeated measurements
- Deconvolution from panel data with unknown error distribution
- Deconvolving compactly supported densities
- A ridge-parameter approach to deconvolution
- Deconvolving kernel density estimators
- Density Estimation in the Presence of Heteroscedastic Measurement Error
- Optimal Rates of Convergence for Deconvolving a Density
- On the effect of estimating the error density in nonparametric deconvolution
- Density Estimation for the Case of Supersmooth Measurement Error
- On the effect of misspecifying the error density in a deconvolution problem
- NONPARAMETRIC ESTIMATION WITH AGGREGATED DATA
- Semiparametric Estimation of Regression Models for Panel Data
- NONPARAMETRIC REGRESSION IN THE PRESENCE OF MEASUREMENT ERROR
- Deconvolution from Fourier-oscillating error densities under decay and smoothness restrictions
- Estimation of Nonlinear Models with Measurement Error
