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On the smoothness of generalized solutions to mixed boundary value problems for elliptic differential-difference equations in an arbitrary bounded domain

Уфимская осенняя математическая школа - 2022. 2 часть, 2022
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A Correction to "Generalized Nonparametric Smoothing with Mixed Discrete and Continuous Data" by Li, Simar & Zelenyuk (2014, CSDA)

Li & Racine (2004) have proposed a nonparametric kernel-based method for smoothing in the presence of categorical predictors as an alternative to the classical nonparametric approach that splits the data into subsets (‘cells’) defined by the unique combinations of the categorical predictors. Li, Simar & Zelenyuk (2014) present an alternative to
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