Deconvolution by simulation

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dc.creatorMallows, Colin
dc.date2007-08-08
dc.date.accessioned2026-07-07T08:24:35Z
dc.date.available2026-07-07T08:24:35Z
dc.descriptionGiven samples (x_1,...,x_m) and (z_1,...,z_n) which we believe are independent realizations of random variables X and Z respectively, where we further believe that Z=X+Y with Y independent of X, the problem is to estimate the distribution of Y. We present a new method for doing this, involving simulation. Experiments suggest that the method provides useful estimates.
dc.descriptionPublished at http://dx.doi.org/10.1214/074921707000000021 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0708.1051
dc.identifierhttp://arxiv.org/abs/0708.1051
dc.identifierIMS Lecture Notes Monograph Series 2007, Vol. 54, 1-11
dc.identifierdoi:10.1214/074921707000000021
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/136386
dc.subjectComputation
dc.subject60J10, 62G05, 94C99 (Primary)
dc.titleDeconvolution by simulation
dc.typetext

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