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<p>The aim of this paper is to propose a new functional way of practically modifying the observations of a statistical variable. It mainly draws its applications from the regression context to experiment with desirable changes in the response variable. We focus on some flexible variations around the identity spline function thus allowing to control local or global changes in the observations. Available for any regression model, this way of modifying a response is applied here in linear and nonlinear Partial Least-Squares models to explore how to alleviate <i>poverty</i> in a social context.</p>

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Identity spline variations in boosted Partial Least-Squares: a study on poverty

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月24日

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  • Jean-François Durand,
  • Rosaria Lombardo,
  • Ida Camminatiello

摘要

The aim of this paper is to propose a new functional way of practically modifying the observations of a statistical variable. It mainly draws its applications from the regression context to experiment with desirable changes in the response variable. We focus on some flexible variations around the identity spline function thus allowing to control local or global changes in the observations. Available for any regression model, this way of modifying a response is applied here in linear and nonlinear Partial Least-Squares models to explore how to alleviate poverty in a social context.