Density deconvolution from repeated measurements without symmetry assumption on the errors

Fabienne Comte and Johanna Kappus

Journal of Multivariate Analysis, 2015, vol. 140, issue C, 31-46

Abstract: We consider deconvolution from repeated observations with unknown error distribution. Until now, this model has mostly been studied under the additional assumption that the errors are symmetric.

Keywords: Nonparametric estimation; Density deconvolution; Repeated measurements; Panel data (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.jmva.2015.04.004

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