The empirical process of residuals from an inverse regression
classification
🧮 math.ST
stat.TH
keywords
regressionempiricalindirectinvestigatemodelprocessresidualscentral
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In this paper we investigate an indirect regression model characterized by the Radon transformation. This model is useful for recovery of medical images obtained by computed tomography scans. The indirect regression function is estimated using a series estimator motivated by a spectral cut-off technique. Further, we investigate the empirical process of residuals from this regression, and show that it satsifies a functional central limit theorem.
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