In this work, we address the problem of selecting the number of changepoints in segmented regression models. We propose a novel stepwise procedure and assess its performance through simulation studies. We demonstrate that our proposal behaves well with the Gaussian and Binomial responses.

Andrea Priulla, Nicoletta D'Angelo (2023). A novel sequential testing procedure for selecting the number of changepoints in segmented regression models. In Proceedings of the Statistics and Data Science Conference.

A novel sequential testing procedure for selecting the number of changepoints in segmented regression models

Andrea Priulla
;
Nicoletta D'Angelo
2023-01-01

Abstract

In this work, we address the problem of selecting the number of changepoints in segmented regression models. We propose a novel stepwise procedure and assess its performance through simulation studies. We demonstrate that our proposal behaves well with the Gaussian and Binomial responses.
2023
978-88-6952-170-6
Andrea Priulla, Nicoletta D'Angelo (2023). A novel sequential testing procedure for selecting the number of changepoints in segmented regression models. In Proceedings of the Statistics and Data Science Conference.
File in questo prodotto:
File Dimensione Formato  
sds2023novel.pdf

Solo gestori archvio

Descrizione: Contributo completo
Tipologia: Versione Editoriale
Dimensione 263.83 kB
Formato Adobe PDF
263.83 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/582811
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact