Regression models with interaction effects have been widely used in multivariate analysis to improve model flexibility and prediction accuracy. In functional data analysis, however, due to the ...
A general nonlinear regression problem is considered with measurement error in the predictors. We assume that the response is related to an unknown linear combination ...
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