Flexible Non-parametric Regression Models for Compositional Response Data with Zeros

Michail Tsagris, Abdulaziz Alenazi and Connie Stewart

No 2306, Working Papers from University of Crete, Department of Economics

Abstract: Compositional data arise in many real-life applications and versatile methods for properly analyzing this type of data in the regression context are needed. When parametric assumptions do not hold or are difficult to verify, non-parametric regression models can provide a convenient alternative method for prediction. To this end, we consider an extension to the classical k-NN regression, termed a-k-NN regression, that yields a highly flexible non-parametric regression model for compositional data through the use of the a-transformation.

Keywords: compositional data; regression;  α-transformation; k-NN algorithm; kernel regression (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2023-02-08
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