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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2011 Volume 5, Issue 4, Pages 36–39 (Mi ia170)

Deconvolution under partially known error distribution

V. G. Ushakovab, N. G. Ushakovc

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

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.



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