Deconvolution for an atomic distribution

DOI10.1214/07-EJS121zbMath1135.62029arXiv0709.3413OpenAlexW2096061639MaRDI QIDQ2426835

Shota Gugushvili, Peter Spreij, A. J. van Es

Publication date: 14 May 2008

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0709.3413

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (10)

A note on a fixed-point method for deconvolution ⋮ Wavelet density estimators for the deconvolution of a component from a mixture ⋮ Empirical Bayesian approach to testing multiple hypotheses with separate priors for left and right alternatives ⋮ Nonparametric inference for discretely sampled Lévy processes ⋮ Deconvolution estimation of mixture distributions with boundaries ⋮ Cytometry inference through adaptive atomic deconvolution ⋮ Möbius deconvolution on the hyperbolic plane with application to impedance density estimation ⋮ Asymptotic normality of the deconvolution kernel density estimator under the vanishing error variance ⋮ Deconvolution for an atomic distribution: rates of convergence ⋮ Least squares sieve estimation of mixture distributions with boundary effects

Uses Software

• KernSmooth

Cites Work

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