Iterative density estimation from contaminated observations
From MaRDI portal
Publication:851230
DOI10.1007/s00184-006-0041-3zbMath1100.62042OpenAlexW1976506599MaRDI QIDQ851230
Publication date: 17 November 2006
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-006-0041-3
simulationdeconvolutiondensity estimationmean integrated squared errorminimax ratessmoothing parametercontaminated observations
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The recovery of distorted band-limited signals
- On the optimal rates of convergence for nonparametric deconvolution problems
- Density estimation in Besov spaces
- Estimation of a mixing distribution function
- Mean integrated square error properties of density estimates
- Rates of convergence of some estimators in a class of deconvolution problems
- Adaptive wavelet estimator for nonparametric density deconvolution
- Deconvolving multidimensional density from partially contaminated observations
- Deconvolving a density from partially contaminated observations
- On pointwise adaptive nonparametric deconvolution
- A consistent nonparametric density estimator for the deconvolution problem
- Deconvolving kernel density estimators
- Gaussian deconvolution via differentiation
- Deconvolution with supersmooth distributions
- Data-driven deconvolution
- On the effect of estimating the error density in nonparametric deconvolution
- Density Estimation for the Case of Supersmooth Measurement Error
- Multi bandwidth kernel estimators for nonparametric deconvolution problems: asymptotics and finite sample performance
- Measurement Error Models
- Measurement error correction using validation data: a review of methods and their applicability in case-control studies
- On the Estimation of the Probability Density, I
- Deconvolution with arbitrarily smooth kernels
This page was built for publication: Iterative density estimation from contaminated observations