V. G. Ushakov, N. G. Ushakov, “Deconvolution under partially known error distribution”, Inform. Primen., 5:4 (2011), 36

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Informatika i Ee Primeneniya [Informatics and its Applications], 2011, Volume 5, Issue 4, Pages 36–39 (Mi ia170)

Deconvolution under partially known error distribution

V. G. Ushakov^ab, N. G. Ushakov^c

^a M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
^b Institute for Problems of Informatics of RAS
^c Institute of Microelectronics Technology and High Purity Materials, Russian Academy of Sciences

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Abstract: The problem of nonparametric estimation of a probability distribution is considered for a case when the sample is contaminated by a random noise. It is supposed that the distribution of the error is known only partially. Identifiability and consistent estimation are investigated.

Keywords: nonparametric estimation; deconvolution.

Document Type: Article

Language: Russian

Citation: V. G. Ushakov, N. G. Ushakov, “Deconvolution under partially known error distribution”, Inform. Primen., 5:4 (2011), 36–39

Citation in format AMSBIB

\Bibitem{UshUsh11}

\by V.~G.~Ushakov, N.~G.~Ushakov

\paper Deconvolution under partially known error distribution

\jour Inform. Primen.

\yr 2011

\vol 5

\issue 4

\pages 36--39

\mathnet{http://mi.mathnet.ru/ia170}

Linking options:

https://www.mathnet.ru/eng/ia170

https://www.mathnet.ru/eng/ia/v5/i4/p36

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

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Abstract page:	278
Full-text PDF :	124
References:	38
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