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Nonparametric Ordinal Regression with a Functional Covariate

Research output: Contribution to conference › Paper › peer-review

Abstract

The paper illustrates how to treat the ordinal regression model when the covariate is functional in nature. In particular nonparametric approaches are presented. To improve the quality of the estimate and overcome the lack of interpretability, a weighted semi-norm is introduced. The performances of the methods are compared on a real dataset with semi-parametric and logistic models.
Original languageEnglish
Pages433-438
Number of pages6
DOIs
Publication statusPublished - 2026
EventJoint Meeting SIS-FENStatS 2026 - Roma
Duration: 1 Jan 2026 → …

Conference

ConferenceJoint Meeting SIS-FENStatS 2026
CityRoma
Period1/01/26 → …

Keywords

  • Ordinal regression
  • functional data
  • nonparametric approaches

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